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3D-R2N2 cuda error - theano

archenroot
Jun 14th, 2017
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  1. Using gpu device 0: GeForce GTX 960M (CNMeM is disabled, cuDNN 5110)
  2. /usr/lib64/python3.5/site-packages/theano/sandbox/cuda/__init__.py:600: UserWarning: Your cuDNN version is more recent than the one Theano officially supports. If you see any problems, try updating Theano or downgrading cuDNN to version 5.
  3. warnings.warn(warn)
  4. loading network parameters from output/ResidualGRUNet/default_model/weights.npy
  5. Compiling testing function
  6. ^CTraceback (most recent call last):
  7. File "3d-voxel-reconstruction.py", line 85, in <module>
  8. main()
  9. File "3d-voxel-reconstruction.py", line 67, in main
  10. voxel_prediction, _ = solver.test_output(demo_imgs)
  11. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/solver.py", line 218, in test_output
  12. *self.net.activations])
  13. File "/usr/lib64/python3.5/site-packages/theano/compile/function.py", line 320, in function
  14. output_keys=output_keys)
  15. File "/usr/lib64/python3.5/site-packages/theano/compile/pfunc.py", line 479, in pfunc
  16. output_keys=output_keys)
  17. File "/usr/lib64/python3.5/site-packages/theano/compile/function_module.py", line 1777, in orig_function
  18. defaults)
  19. File "/usr/lib64/python3.5/site-packages/theano/compile/function_module.py", line 1641, in create
  20. input_storage=input_storage_lists, storage_map=storage_map)
  21. File "/usr/lib64/python3.5/site-packages/theano/gof/link.py", line 690, in make_thunk
  22. storage_map=storage_map)[:3]
  23. File "/usr/lib64/python3.5/site-packages/theano/gof/vm.py", line 1003, in make_all
  24. no_recycling))
  25. File "/usr/lib64/python3.5/site-packages/theano/sandbox/cuda/__init__.py", line 256, in make_thunk
  26. compute_map, no_recycling)
  27. File "/usr/lib64/python3.5/site-packages/theano/gof/op.py", line 970, in make_thunk
  28. no_recycling)
  29. File "/usr/lib64/python3.5/site-packages/theano/gof/op.py", line 879, in make_c_thunk
  30. output_storage=node_output_storage)
  31. File "/usr/lib64/python3.5/site-packages/theano/gof/cc.py", line 1200, in make_thunk
  32. keep_lock=keep_lock)
  33. File "/usr/lib64/python3.5/site-packages/theano/gof/cc.py", line 1143, in __compile__
  34. keep_lock=keep_lock)
  35. File "/usr/lib64/python3.5/site-packages/theano/gof/cc.py", line 1595, in cthunk_factory
  36. key=key, lnk=self, keep_lock=keep_lock)
  37. File "/usr/lib64/python3.5/site-packages/theano/gof/cmodule.py", line 1142, in module_from_key
  38. module = lnk.compile_cmodule(location)
  39. File "/usr/lib64/python3.5/site-packages/theano/gof/cc.py", line 1506, in compile_cmodule
  40. preargs=preargs)
  41. File "/usr/lib64/python3.5/site-packages/theano/sandbox/cuda/nvcc_compiler.py", line 362, in compile_str
  42. nvcc_stdout, nvcc_stderr = decode_iter(p.communicate()[:2])
  43. File "/usr/lib64/python3.5/subprocess.py", line 801, in communicate
  44. stdout, stderr = self._communicate(input, endtime, timeout)
  45. File "/usr/lib64/python3.5/subprocess.py", line 1446, in _communicate
  46. ready = selector.select(timeout)
  47. File "/usr/lib64/python3.5/selectors.py", line 376, in select
  48. fd_event_list = self._poll.poll(timeout)
  49. KeyboardInterrupt
  50. zangetsu@ares ~/proj/neural-networks/3D-R2N2 $ python 3d-voxel-reconstruction.py prediction.obj > result
  51. Using gpu device 0: GeForce GTX 960M (CNMeM is disabled, cuDNN 5110)
  52. /usr/lib64/python3.5/site-packages/theano/sandbox/cuda/__init__.py:600: UserWarning: Your cuDNN version is more recent than the one Theano officially supports. If you see any problems, try updating Theano or downgrading cuDNN to version 5.
  53. warnings.warn(warn)
  54. Traceback (most recent call last):
  55. File "theano/scan_module/scan_perform.pyx", line 397, in theano.scan_module.scan_perform.perform (/home/zangetsu/.theano/compiledir_Linux-4.11-gentoo-x86_64-Intel-R-_Core-TM-_i7-6700HQ_CPU_@_2.60GHz-with-gentoo-2.3-Intel_R_Core_TM_i7-6700HQ_CPU_@_2.60GHz-3.5.3-64/scan_perform/mod.cpp:4193)
  56. ValueError: could not broadcast input array from shape (1,4,127,127) into shape (1,3,127,127)
  57.  
  58. During handling of the above exception, another exception occurred:
  59.  
  60. Traceback (most recent call last):
  61. File "/usr/lib64/python3.5/site-packages/theano/compile/function_module.py", line 859, in __call__
  62. outputs = self.fn()
  63. File "/usr/lib64/python3.5/site-packages/theano/scan_module/scan_op.py", line 951, in rval
  64. r = p(n, [x[0] for x in i], o)
  65. File "/usr/lib64/python3.5/site-packages/theano/scan_module/scan_op.py", line 940, in <lambda>
  66. self, node)
  67. File "theano/scan_module/scan_perform.pyx", line 405, in theano.scan_module.scan_perform.perform (/home/zangetsu/.theano/compiledir_Linux-4.11-gentoo-x86_64-Intel-R-_Core-TM-_i7-6700HQ_CPU_@_2.60GHz-with-gentoo-2.3-Intel_R_Core_TM_i7-6700HQ_CPU_@_2.60GHz-3.5.3-64/scan_perform/mod.cpp:4316)
  68. File "/usr/lib64/python3.5/site-packages/theano/gof/link.py", line 314, in raise_with_op
  69. reraise(exc_type, exc_value, exc_trace)
  70. File "/usr/lib64/python3.5/site-packages/six.py", line 685, in reraise
  71. raise value.with_traceback(tb)
  72. File "theano/scan_module/scan_perform.pyx", line 397, in theano.scan_module.scan_perform.perform (/home/zangetsu/.theano/compiledir_Linux-4.11-gentoo-x86_64-Intel-R-_Core-TM-_i7-6700HQ_CPU_@_2.60GHz-with-gentoo-2.3-Intel_R_Core_TM_i7-6700HQ_CPU_@_2.60GHz-3.5.3-64/scan_perform/mod.cpp:4193)
  73. ValueError: could not broadcast input array from shape (1,4,127,127) into shape (1,3,127,127)
  74. Apply node that caused the error: IncSubtensor{Set;::, ::, int64:int64:, int64:int64:}(Alloc.0, Rebroadcast{1}.0, Constant{3}, Constant{130}, Constant{3}, Constant{130})
  75. Toposort index: 66
  76. Inputs types: [TensorType(float32, (True, False, False, False)), TensorType(float32, (True, False, False, False)), Scalar(int64), Scalar(int64), Scalar(int64), Scalar(int64)]
  77. Inputs shapes: [(1, 3, 133, 133), (1, 4, 127, 127), (), (), (), ()]
  78. Inputs strides: [(212268, 70756, 532, 4), (258064, 64516, 508, 4), (), (), (), ()]
  79. Inputs values: ['not shown', 'not shown', 3, 130, 3, 130]
  80. Outputs clients: [[ConvOp{('imshp', (3, 133, 133)),('kshp', (7, 7)),('nkern', 96),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', 1),('unroll_kern', 6),('unroll_patch', False),('imshp_logical', (3, 133, 133)),('kshp_logical', (7, 7)),('kshp_logical_top_aligned', True)}(IncSubtensor{Set;::, ::, int64:int64:, int64:int64:}.0, <TensorType(float32, 4D)>)]]
  81.  
  82. Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
  83. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  84. self.set_output()
  85. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 639, in set_output
  86. self._input = self._prev_layer.output
  87. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  88. self.set_output()
  89. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 314, in set_output
  90. self._prev_layer.output)
  91. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  92. self.set_output()
  93. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 639, in set_output
  94. self._input = self._prev_layer.output
  95. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  96. self.set_output()
  97. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 314, in set_output
  98. self._prev_layer.output)
  99.  
  100. Debugprint of the apply node:
  101. IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id A] <TensorType(float32, (True, False, False, False))> ''
  102. |Alloc [id B] <TensorType(float32, (True, False, False, False))> ''
  103. | |TensorConstant{0.0} [id C] <TensorType(float32, scalar)>
  104. | |TensorConstant{1} [id D] <TensorType(int8, scalar)>
  105. | |TensorConstant{3} [id E] <TensorType(int8, scalar)>
  106. | |TensorConstant{133} [id F] <TensorType(int16, scalar)>
  107. | |TensorConstant{133} [id G] <TensorType(int16, scalar)>
  108. |Rebroadcast{1} [id H] <TensorType(float32, (True, False, False, False))> ''
  109. | |<TensorType(float32, 4D)> [id I] <TensorType(float32, 4D)>
  110. |Constant{3} [id J] <int64>
  111. |Constant{130} [id K] <int64>
  112. |Constant{3} [id L] <int64>
  113. |Constant{130} [id M] <int64>
  114.  
  115. HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
  116.  
  117. During handling of the above exception, another exception occurred:
  118.  
  119. Traceback (most recent call last):
  120. File "3d-voxel-reconstruction.py", line 85, in <module>
  121. main()
  122. File "3d-voxel-reconstruction.py", line 67, in main
  123. voxel_prediction, _ = solver.test_output(demo_imgs)
  124. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/solver.py", line 232, in test_output
  125. results = self._test_output(x, y_val)
  126. File "/usr/lib64/python3.5/site-packages/theano/compile/function_module.py", line 871, in __call__
  127. storage_map=getattr(self.fn, 'storage_map', None))
  128. File "/usr/lib64/python3.5/site-packages/theano/gof/link.py", line 314, in raise_with_op
  129. reraise(exc_type, exc_value, exc_trace)
  130. File "/usr/lib64/python3.5/site-packages/six.py", line 685, in reraise
  131. raise value.with_traceback(tb)
  132. File "/usr/lib64/python3.5/site-packages/theano/compile/function_module.py", line 859, in __call__
  133. outputs = self.fn()
  134. File "/usr/lib64/python3.5/site-packages/theano/scan_module/scan_op.py", line 951, in rval
  135. r = p(n, [x[0] for x in i], o)
  136. File "/usr/lib64/python3.5/site-packages/theano/scan_module/scan_op.py", line 940, in <lambda>
  137. self, node)
  138. File "theano/scan_module/scan_perform.pyx", line 405, in theano.scan_module.scan_perform.perform (/home/zangetsu/.theano/compiledir_Linux-4.11-gentoo-x86_64-Intel-R-_Core-TM-_i7-6700HQ_CPU_@_2.60GHz-with-gentoo-2.3-Intel_R_Core_TM_i7-6700HQ_CPU_@_2.60GHz-3.5.3-64/scan_perform/mod.cpp:4316)
  139. File "/usr/lib64/python3.5/site-packages/theano/gof/link.py", line 314, in raise_with_op
  140. reraise(exc_type, exc_value, exc_trace)
  141. File "/usr/lib64/python3.5/site-packages/six.py", line 685, in reraise
  142. raise value.with_traceback(tb)
  143. File "theano/scan_module/scan_perform.pyx", line 397, in theano.scan_module.scan_perform.perform (/home/zangetsu/.theano/compiledir_Linux-4.11-gentoo-x86_64-Intel-R-_Core-TM-_i7-6700HQ_CPU_@_2.60GHz-with-gentoo-2.3-Intel_R_Core_TM_i7-6700HQ_CPU_@_2.60GHz-3.5.3-64/scan_perform/mod.cpp:4193)
  144. ValueError: could not broadcast input array from shape (1,4,127,127) into shape (1,3,127,127)
  145. Apply node that caused the error: IncSubtensor{Set;::, ::, int64:int64:, int64:int64:}(Alloc.0, Rebroadcast{1}.0, Constant{3}, Constant{130}, Constant{3}, Constant{130})
  146. Toposort index: 66
  147. Inputs types: [TensorType(float32, (True, False, False, False)), TensorType(float32, (True, False, False, False)), Scalar(int64), Scalar(int64), Scalar(int64), Scalar(int64)]
  148. Inputs shapes: [(1, 3, 133, 133), (1, 4, 127, 127), (), (), (), ()]
  149. Inputs strides: [(212268, 70756, 532, 4), (258064, 64516, 508, 4), (), (), (), ()]
  150. Inputs values: ['not shown', 'not shown', 3, 130, 3, 130]
  151. Outputs clients: [[ConvOp{('imshp', (3, 133, 133)),('kshp', (7, 7)),('nkern', 96),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', 1),('unroll_kern', 6),('unroll_patch', False),('imshp_logical', (3, 133, 133)),('kshp_logical', (7, 7)),('kshp_logical_top_aligned', True)}(IncSubtensor{Set;::, ::, int64:int64:, int64:int64:}.0, <TensorType(float32, 4D)>)]]
  152.  
  153. Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
  154. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  155. self.set_output()
  156. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 639, in set_output
  157. self._input = self._prev_layer.output
  158. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  159. self.set_output()
  160. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 314, in set_output
  161. self._prev_layer.output)
  162. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  163. self.set_output()
  164. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 639, in set_output
  165. self._input = self._prev_layer.output
  166. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 130, in output
  167. self.set_output()
  168. File "/home/zangetsu/proj/neural-networks/3D-R2N2/lib/layers.py", line 314, in set_output
  169. self._prev_layer.output)
  170.  
  171. Debugprint of the apply node:
  172. IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id A] <TensorType(float32, (True, False, False, False))> ''
  173. |Alloc [id B] <TensorType(float32, (True, False, False, False))> ''
  174. | |TensorConstant{0.0} [id C] <TensorType(float32, scalar)>
  175. | |TensorConstant{1} [id D] <TensorType(int8, scalar)>
  176. | |TensorConstant{3} [id E] <TensorType(int8, scalar)>
  177. | |TensorConstant{133} [id F] <TensorType(int16, scalar)>
  178. | |TensorConstant{133} [id G] <TensorType(int16, scalar)>
  179. |Rebroadcast{1} [id H] <TensorType(float32, (True, False, False, False))> ''
  180. | |<TensorType(float32, 4D)> [id I] <TensorType(float32, 4D)>
  181. |Constant{3} [id J] <int64>
  182. |Constant{130} [id K] <int64>
  183. |Constant{3} [id L] <int64>
  184. |Constant{130} [id M] <int64>
  185.  
  186. HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
  187. Apply node that caused the error: for{cpu,scan_fn}(Subtensor{int64}.0, Subtensor{:int64:}.0, IncSubtensor{Set;:int64:}.0, IncSubtensor{Set;:int64:}.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0, HostFromGpu.0)
  188. Toposort index: 292
  189. Inputs types: [TensorType(int64, scalar), TensorType(float32, 5D), TensorType(float32, (False, True, False, False, False, False)), TensorType(float32, (False, True, False, False, False, False)), TensorType(float32, 5D), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, 4D), TensorType(float32, vector), TensorType(float32, matrix), TensorType(float32, vector), TensorType(float32, matrix), TensorType(float32, vector), TensorType(float32, 5D), TensorType(float32, matrix), TensorType(float32, vector), TensorType(float32, 5D), TensorType(float32, matrix), TensorType(float32, vector)]
  190. Inputs shapes: [(), (3, 1, 4, 127, 127), (4, 1, 4, 128, 4, 4), (4, 1, 4, 128, 4, 4), (128, 3, 128, 3, 3), (96, 3, 7, 7), (96,), (96, 96, 3, 3), (96,), (128, 96, 1, 1), (128,), (128, 96, 3, 3), (128,), (128, 128, 3, 3), (128,), (256, 128, 1, 1), (256,), (256, 128, 3, 3), (256,), (256, 256, 3, 3), (256,), (256, 256, 3, 3), (256,), (256, 256, 3, 3), (256,), (256, 256, 1, 1), (256,), (256, 256, 3, 3), (256,), (256, 256, 3, 3), (256,), (256, 256, 3, 3), (256,), (256, 256, 3, 3), (256,), (2304, 1024), (1024,), (1024, 8192), (128,), (128, 3, 128, 3, 3), (1024, 8192), (128,), (128, 3, 128, 3, 3), (1024, 8192), (128,)]
  191. Inputs strides: [(), (258064, 258064, 64516, 508, 4), (32768, 32768, 8192, 64, 16, 4), (32768, 32768, 8192, 64, 16, 4), (13824, 4608, 36, 12, 4), (588, 196, 28, 4), (4,), (3456, 36, 12, 4), (4,), (384, 4, 4, 4), (4,), (3456, 36, 12, 4), (4,), (4608, 36, 12, 4), (4,), (512, 4, 4, 4), (4,), (4608, 36, 12, 4), (4,), (9216, 36, 12, 4), (4,), (9216, 36, 12, 4), (4,), (9216, 36, 12, 4), (4,), (1024, 4, 4, 4), (4,), (9216, 36, 12, 4), (4,), (9216, 36, 12, 4), (4,), (9216, 36, 12, 4), (4,), (9216, 36, 12, 4), (4,), (4096, 4), (4,), (32768, 4), (4,), (13824, 4608, 36, 12, 4), (32768, 4), (4,), (13824, 4608, 36, 12, 4), (32768, 4), (4,)]
  192. Inputs values: [array(3), 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown', 'not shown']
  193. Outputs clients: [[Subtensor{int64::}(for{cpu,scan_fn}.0, Constant{1})], [Subtensor{int64::}(for{cpu,scan_fn}.1, Constant{1})]]
  194.  
  195. Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
  196. File "3d-voxel-reconstruction.py", line 85, in <module>
  197. main()
  198. File "3d-voxel-reconstruction.py", line 62, in main
  199. net = NetClass(compute_grad=False) # instantiate a network
  200. File "/home/zangetsu/proj/neural-networks/3D-R2N2/models/net.py", line 37, in __init__
  201. self.setup()
  202. File "/home/zangetsu/proj/neural-networks/3D-R2N2/models/net.py", line 40, in setup
  203. self.network_definition()
  204. File "/home/zangetsu/proj/neural-networks/3D-R2N2/models/res_gru_net.py", line 160, in network_definition
  205. dtype=theano.config.floatX)])
  206.  
  207. Debugprint of the apply node:
  208. for{cpu,scan_fn}.0 [id A] <TensorType(float32, (False, True, False, False, False, False))> ''
  209. |Subtensor{int64} [id B] <TensorType(int64, scalar)> ''
  210. | |Shape [id C] <TensorType(int64, vector)> ''
  211. | | |Subtensor{int64::} [id D] <TensorType(float32, 5D)> ''
  212. | | |<TensorType(float32, 5D)> [id E] <TensorType(float32, 5D)>
  213. | | |Constant{0} [id F] <int64>
  214. | |Constant{0} [id G] <int64>
  215. |Subtensor{:int64:} [id H] <TensorType(float32, 5D)> ''
  216. | |Subtensor{int64::} [id D] <TensorType(float32, 5D)> ''
  217. | |ScalarFromTensor [id I] <int64> ''
  218. | |Subtensor{int64} [id B] <TensorType(int64, scalar)> ''
  219. |IncSubtensor{Set;:int64:} [id J] <TensorType(float32, (False, True, False, False, False, False))> ''
  220. | |AllocEmpty{dtype='float32'} [id K] <TensorType(float32, (False, True, False, False, False, False))> ''
  221. | | |Elemwise{add,no_inplace} [id L] <TensorType(int64, scalar)> ''
  222. | | | |Subtensor{int64} [id B] <TensorType(int64, scalar)> ''
  223. | | | |Subtensor{int64} [id M] <TensorType(int64, scalar)> ''
  224. | | | |Shape [id N] <TensorType(int64, vector)> ''
  225. | | | | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  226. | | | | |DimShuffle{x,0,1,2,3,4} [id P] <TensorType(float32, (True, True, False, False, False, False))> ''
  227. | | | | |Elemwise{second,no_inplace} [id Q] <TensorType(float32, (True, False, False, False, False))> ''
  228. | | | | |TensorConstant{(1, 4, 128.. 4) of 0.0} [id R] <TensorType(float64, (True, False, False, False, False))>
  229. | | | | |DimShuffle{x,x,x,x,x} [id S] <TensorType(float32, (True, True, True, True, True))> ''
  230. | | | | |TensorConstant{0.0} [id T] <TensorType(float32, scalar)>
  231. | | | |Constant{0} [id U] <int64>
  232. | | |Subtensor{int64} [id V] <TensorType(int64, scalar)> ''
  233. | | | |Shape [id W] <TensorType(int64, vector)> ''
  234. | | | | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  235. | | | |Constant{1} [id X] <int64>
  236. | | |Subtensor{int64} [id Y] <TensorType(int64, scalar)> ''
  237. | | | |Shape [id Z] <TensorType(int64, vector)> ''
  238. | | | | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  239. | | | |Constant{2} [id BA] <int64>
  240. | | |Subtensor{int64} [id BB] <TensorType(int64, scalar)> ''
  241. | | | |Shape [id BC] <TensorType(int64, vector)> ''
  242. | | | | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  243. | | | |Constant{3} [id BD] <int64>
  244. | | |Subtensor{int64} [id BE] <TensorType(int64, scalar)> ''
  245. | | | |Shape [id BF] <TensorType(int64, vector)> ''
  246. | | | | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  247. | | | |Constant{4} [id BG] <int64>
  248. | | |Subtensor{int64} [id BH] <TensorType(int64, scalar)> ''
  249. | | |Shape [id BI] <TensorType(int64, vector)> ''
  250. | | | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  251. | | |Constant{5} [id BJ] <int64>
  252. | |Rebroadcast{0} [id O] <TensorType(float32, (False, True, False, False, False, False))> ''
  253. | |ScalarFromTensor [id BK] <int64> ''
  254. | |Subtensor{int64} [id M] <TensorType(int64, scalar)> ''
  255. |IncSubtensor{Set;:int64:} [id BL] <TensorType(float32, (False, True, False, False, False, False))> ''
  256. | |AllocEmpty{dtype='float32'} [id BM] <TensorType(float32, (False, True, False, False, False, False))> ''
  257. | | |Elemwise{add,no_inplace} [id BN] <TensorType(int64, scalar)> ''
  258. | | | |Subtensor{int64} [id B] <TensorType(int64, scalar)> ''
  259. | | | |Subtensor{int64} [id BO] <TensorType(int64, scalar)> ''
  260. | | | |Shape [id BP] <TensorType(int64, vector)> ''
  261. | | | | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  262. | | | | |DimShuffle{x,0,1,2,3,4} [id BR] <TensorType(float32, (True, True, False, False, False, False))> ''
  263. | | | | |Elemwise{second,no_inplace} [id BS] <TensorType(float32, (True, False, False, False, False))> ''
  264. | | | | |TensorConstant{(1, 4, 128.. 4) of 0.0} [id BT] <TensorType(float64, (True, False, False, False, False))>
  265. | | | | |DimShuffle{x,x,x,x,x} [id BU] <TensorType(float32, (True, True, True, True, True))> ''
  266. | | | | |TensorConstant{0.0} [id T] <TensorType(float32, scalar)>
  267. | | | |Constant{0} [id BV] <int64>
  268. | | |Subtensor{int64} [id BW] <TensorType(int64, scalar)> ''
  269. | | | |Shape [id BX] <TensorType(int64, vector)> ''
  270. | | | | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  271. | | | |Constant{1} [id BY] <int64>
  272. | | |Subtensor{int64} [id BZ] <TensorType(int64, scalar)> ''
  273. | | | |Shape [id CA] <TensorType(int64, vector)> ''
  274. | | | | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  275. | | | |Constant{2} [id CB] <int64>
  276. | | |Subtensor{int64} [id CC] <TensorType(int64, scalar)> ''
  277. | | | |Shape [id CD] <TensorType(int64, vector)> ''
  278. | | | | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  279. | | | |Constant{3} [id CE] <int64>
  280. | | |Subtensor{int64} [id CF] <TensorType(int64, scalar)> ''
  281. | | | |Shape [id CG] <TensorType(int64, vector)> ''
  282. | | | | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  283. | | | |Constant{4} [id CH] <int64>
  284. | | |Subtensor{int64} [id CI] <TensorType(int64, scalar)> ''
  285. | | |Shape [id CJ] <TensorType(int64, vector)> ''
  286. | | | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  287. | | |Constant{5} [id CK] <int64>
  288. | |Rebroadcast{0} [id BQ] <TensorType(float32, (False, True, False, False, False, False))> ''
  289. | |ScalarFromTensor [id CL] <int64> ''
  290. | |Subtensor{int64} [id BO] <TensorType(int64, scalar)> ''
  291. |HostFromGpu [id CM] <TensorType(float32, 5D)> ''
  292. | |<CudaNdarrayType(float32, 5D)> [id CN] <CudaNdarrayType(float32, 5D)>
  293. |HostFromGpu [id CO] <TensorType(float32, 4D)> ''
  294. | |<CudaNdarrayType(float32, 4D)> [id CP] <CudaNdarrayType(float32, 4D)>
  295. |HostFromGpu [id CQ] <TensorType(float32, vector)> ''
  296. | |<CudaNdarrayType(float32, vector)> [id CR] <CudaNdarrayType(float32, vector)>
  297. |HostFromGpu [id CS] <TensorType(float32, 4D)> ''
  298. | |<CudaNdarrayType(float32, 4D)> [id CT] <CudaNdarrayType(float32, 4D)>
  299. |HostFromGpu [id CU] <TensorType(float32, vector)> ''
  300. | |<CudaNdarrayType(float32, vector)> [id CV] <CudaNdarrayType(float32, vector)>
  301. |HostFromGpu [id CW] <TensorType(float32, 4D)> ''
  302. | |<CudaNdarrayType(float32, 4D)> [id CX] <CudaNdarrayType(float32, 4D)>
  303. |HostFromGpu [id CY] <TensorType(float32, vector)> ''
  304. | |<CudaNdarrayType(float32, vector)> [id CZ] <CudaNdarrayType(float32, vector)>
  305. |HostFromGpu [id DA] <TensorType(float32, 4D)> ''
  306. | |<CudaNdarrayType(float32, 4D)> [id DB] <CudaNdarrayType(float32, 4D)>
  307. |HostFromGpu [id DC] <TensorType(float32, vector)> ''
  308. | |<CudaNdarrayType(float32, vector)> [id DD] <CudaNdarrayType(float32, vector)>
  309. |HostFromGpu [id DE] <TensorType(float32, 4D)> ''
  310. | |<CudaNdarrayType(float32, 4D)> [id DF] <CudaNdarrayType(float32, 4D)>
  311. |HostFromGpu [id DG] <TensorType(float32, vector)> ''
  312. | |<CudaNdarrayType(float32, vector)> [id DH] <CudaNdarrayType(float32, vector)>
  313. |HostFromGpu [id DI] <TensorType(float32, 4D)> ''
  314. | |<CudaNdarrayType(float32, 4D)> [id DJ] <CudaNdarrayType(float32, 4D)>
  315. |HostFromGpu [id DK] <TensorType(float32, vector)> ''
  316. | |<CudaNdarrayType(float32, vector)> [id DL] <CudaNdarrayType(float32, vector)>
  317. |HostFromGpu [id DM] <TensorType(float32, 4D)> ''
  318. | |<CudaNdarrayType(float32, 4D)> [id DN] <CudaNdarrayType(float32, 4D)>
  319. |HostFromGpu [id DO] <TensorType(float32, vector)> ''
  320. | |<CudaNdarrayType(float32, vector)> [id DP] <CudaNdarrayType(float32, vector)>
  321. |HostFromGpu [id DQ] <TensorType(float32, 4D)> ''
  322. | |<CudaNdarrayType(float32, 4D)> [id DR] <CudaNdarrayType(float32, 4D)>
  323. |HostFromGpu [id DS] <TensorType(float32, vector)> ''
  324. | |<CudaNdarrayType(float32, vector)> [id DT] <CudaNdarrayType(float32, vector)>
  325. |HostFromGpu [id DU] <TensorType(float32, 4D)> ''
  326. | |<CudaNdarrayType(float32, 4D)> [id DV] <CudaNdarrayType(float32, 4D)>
  327. |HostFromGpu [id DW] <TensorType(float32, vector)> ''
  328. | |<CudaNdarrayType(float32, vector)> [id DX] <CudaNdarrayType(float32, vector)>
  329. |HostFromGpu [id DY] <TensorType(float32, 4D)> ''
  330. | |<CudaNdarrayType(float32, 4D)> [id DZ] <CudaNdarrayType(float32, 4D)>
  331. |HostFromGpu [id EA] <TensorType(float32, vector)> ''
  332. | |<CudaNdarrayType(float32, vector)> [id EB] <CudaNdarrayType(float32, vector)>
  333. |HostFromGpu [id EC] <TensorType(float32, 4D)> ''
  334. | |<CudaNdarrayType(float32, 4D)> [id ED] <CudaNdarrayType(float32, 4D)>
  335. |HostFromGpu [id EE] <TensorType(float32, vector)> ''
  336. | |<CudaNdarrayType(float32, vector)> [id EF] <CudaNdarrayType(float32, vector)>
  337. |HostFromGpu [id EG] <TensorType(float32, 4D)> ''
  338. | |<CudaNdarrayType(float32, 4D)> [id EH] <CudaNdarrayType(float32, 4D)>
  339. |HostFromGpu [id EI] <TensorType(float32, vector)> ''
  340. | |<CudaNdarrayType(float32, vector)> [id EJ] <CudaNdarrayType(float32, vector)>
  341. |HostFromGpu [id EK] <TensorType(float32, 4D)> ''
  342. | |<CudaNdarrayType(float32, 4D)> [id EL] <CudaNdarrayType(float32, 4D)>
  343. |HostFromGpu [id EM] <TensorType(float32, vector)> ''
  344. | |<CudaNdarrayType(float32, vector)> [id EN] <CudaNdarrayType(float32, vector)>
  345. |HostFromGpu [id EO] <TensorType(float32, 4D)> ''
  346. | |<CudaNdarrayType(float32, 4D)> [id EP] <CudaNdarrayType(float32, 4D)>
  347. |HostFromGpu [id EQ] <TensorType(float32, vector)> ''
  348. | |<CudaNdarrayType(float32, vector)> [id ER] <CudaNdarrayType(float32, vector)>
  349. |HostFromGpu [id ES] <TensorType(float32, 4D)> ''
  350. | |<CudaNdarrayType(float32, 4D)> [id ET] <CudaNdarrayType(float32, 4D)>
  351. |HostFromGpu [id EU] <TensorType(float32, vector)> ''
  352. | |<CudaNdarrayType(float32, vector)> [id EV] <CudaNdarrayType(float32, vector)>
  353. |HostFromGpu [id EW] <TensorType(float32, matrix)> ''
  354. | |<CudaNdarrayType(float32, matrix)> [id EX] <CudaNdarrayType(float32, matrix)>
  355. |HostFromGpu [id EY] <TensorType(float32, vector)> ''
  356. | |<CudaNdarrayType(float32, vector)> [id EZ] <CudaNdarrayType(float32, vector)>
  357. |HostFromGpu [id FA] <TensorType(float32, matrix)> ''
  358. | |<CudaNdarrayType(float32, matrix)> [id FB] <CudaNdarrayType(float32, matrix)>
  359. |HostFromGpu [id FC] <TensorType(float32, vector)> ''
  360. | |<CudaNdarrayType(float32, vector)> [id FD] <CudaNdarrayType(float32, vector)>
  361. |HostFromGpu [id FE] <TensorType(float32, 5D)> ''
  362. | |<CudaNdarrayType(float32, 5D)> [id FF] <CudaNdarrayType(float32, 5D)>
  363. |HostFromGpu [id FG] <TensorType(float32, matrix)> ''
  364. | |<CudaNdarrayType(float32, matrix)> [id FH] <CudaNdarrayType(float32, matrix)>
  365. |HostFromGpu [id FI] <TensorType(float32, vector)> ''
  366. | |<CudaNdarrayType(float32, vector)> [id FJ] <CudaNdarrayType(float32, vector)>
  367. |HostFromGpu [id FK] <TensorType(float32, 5D)> ''
  368. | |<CudaNdarrayType(float32, 5D)> [id FL] <CudaNdarrayType(float32, 5D)>
  369. |HostFromGpu [id FM] <TensorType(float32, matrix)> ''
  370. | |<CudaNdarrayType(float32, matrix)> [id FN] <CudaNdarrayType(float32, matrix)>
  371. |HostFromGpu [id FO] <TensorType(float32, vector)> ''
  372. |<CudaNdarrayType(float32, vector)> [id FP] <CudaNdarrayType(float32, vector)>
  373. for{cpu,scan_fn}.1 [id A] <TensorType(float32, (False, True, False, False, False, False))> ''
  374.  
  375. Inner graphs of the scan ops:
  376.  
  377. for{cpu,scan_fn}.0 [id A] <TensorType(float32, (False, True, False, False, False, False))> ''
  378. >Elemwise{add,no_inplace} [id FQ] <TensorType(float32, (True, False, False, False, False))> ''
  379. > |Elemwise{mul,no_inplace} [id FR] <TensorType(float32, (True, False, False, False, False))> ''
  380. > | |sigmoid [id FS] <TensorType(float32, (True, False, False, False, False))> ''
  381. > | | |Elemwise{add,no_inplace} [id FT] <TensorType(float32, (True, False, False, False, False))> ''
  382. > | | |Elemwise{add,no_inplace} [id FU] <TensorType(float32, (True, False, False, False, False))> ''
  383. > | | | |Sum{axis=[3], acc_dtype=float64} [id FV] <TensorType(float32, (True, False, False, False, False))> ''
  384. > | | | | |DiagonalSubtensor [id FW] <TensorType(float32, (True, False, False, False, False, False))> ''
  385. > | | | | |Reshape{6} [id FX] <TensorType(float32, (True, False, False, False, False, False))> ''
  386. > | | | | | |AbstractConv2d{border_mode='valid', subsample=(1, 1), filter_flip=True, imshp=(None, None, None, None), kshp=(None, None, None, None)} [id FY] <TensorType(float32, 4D)> ''
  387. > | | | | | | |Reshape{4} [id FZ] <TensorType(float32, 4D)> ''
  388. > | | | | | | | |IncSubtensor{Set;::, int64:int64:, ::, int64:int64:, int64:int64:} [id GA] <TensorType(float32, (True, False, False, False, False))> ''
  389. > | | | | | | | | |Alloc [id GB] <TensorType(float32, (True, False, False, False, False))> ''
  390. > | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  391. > | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  392. > | | | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  393. > | | | | | | | | | |TensorConstant{128} [id GF] <TensorType(int16, scalar)>
  394. > | | | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  395. > | | | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  396. > | | | | | | | | |<TensorType(float32, (True, False, False, False, False))> [id GG] <TensorType(float32, (True, False, False, False, False))> -> [id J]
  397. > | | | | | | | | |Constant{1} [id GH] <int64>
  398. > | | | | | | | | |Constant{5} [id GI] <int64>
  399. > | | | | | | | | |Constant{1} [id GJ] <int64>
  400. > | | | | | | | | |Constant{5} [id GK] <int64>
  401. > | | | | | | | | |Constant{1} [id GL] <int64>
  402. > | | | | | | | | |Constant{5} [id GM] <int64>
  403. > | | | | | | | |MakeVector{dtype='int64'} [id GN] <TensorType(int64, vector)> ''
  404. > | | | | | | | |Elemwise{mul,no_inplace} [id GO] <TensorType(int64, scalar)> ''
  405. > | | | | | | | | |Subtensor{int64} [id GP] <TensorType(int64, scalar)> ''
  406. > | | | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  407. > | | | | | | | | | | |IncSubtensor{Set;::, int64:int64:, ::, int64:int64:, int64:int64:} [id GA] <TensorType(float32, (True, False, False, False, False))> ''
  408. > | | | | | | | | | |Constant{0} [id GR] <int64>
  409. > | | | | | | | | |Subtensor{int64} [id GS] <TensorType(int64, scalar)> ''
  410. > | | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  411. > | | | | | | | | |Constant{1} [id GT] <int64>
  412. > | | | | | | | |Subtensor{int64} [id GU] <TensorType(int64, scalar)> ''
  413. > | | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  414. > | | | | | | | | |Constant{2} [id GV] <int64>
  415. > | | | | | | | |Subtensor{int64} [id GW] <TensorType(int64, scalar)> ''
  416. > | | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  417. > | | | | | | | | |Constant{3} [id GX] <int64>
  418. > | | | | | | | |Subtensor{int64} [id GY] <TensorType(int64, scalar)> ''
  419. > | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  420. > | | | | | | | |Constant{4} [id GZ] <int64>
  421. > | | | | | | |Reshape{4} [id HA] <TensorType(float32, 4D)> ''
  422. > | | | | | | |<TensorType(float32, 5D)> [id HB] <TensorType(float32, 5D)> -> [id CM]
  423. > | | | | | | |MakeVector{dtype='int64'} [id HC] <TensorType(int64, vector)> ''
  424. > | | | | | | |Elemwise{mul,no_inplace} [id HD] <TensorType(int64, scalar)> ''
  425. > | | | | | | | |Subtensor{int64} [id HE] <TensorType(int64, scalar)> ''
  426. > | | | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  427. > | | | | | | | | | |GpuFromHost [id HG] <CudaNdarrayType(float32, 5D)> ''
  428. > | | | | | | | | | |<TensorType(float32, 5D)> [id HB] <TensorType(float32, 5D)> -> [id CM]
  429. > | | | | | | | | |Constant{0} [id HH] <int64>
  430. > | | | | | | | |Subtensor{int64} [id HI] <TensorType(int64, scalar)> ''
  431. > | | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  432. > | | | | | | | |Constant{1} [id HJ] <int64>
  433. > | | | | | | |Subtensor{int64} [id HK] <TensorType(int64, scalar)> ''
  434. > | | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  435. > | | | | | | | |Constant{2} [id HL] <int64>
  436. > | | | | | | |Subtensor{int64} [id HM] <TensorType(int64, scalar)> ''
  437. > | | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  438. > | | | | | | | |Constant{3} [id HN] <int64>
  439. > | | | | | | |Subtensor{int64} [id HO] <TensorType(int64, scalar)> ''
  440. > | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  441. > | | | | | | |Constant{4} [id HP] <int64>
  442. > | | | | | |MakeVector{dtype='int64'} [id HQ] <TensorType(int64, vector)> ''
  443. > | | | | | |Subtensor{int64} [id HR] <TensorType(int64, scalar)> ''
  444. > | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  445. > | | | | | | |Constant{0} [id HS] <int64>
  446. > | | | | | |Subtensor{int64} [id HT] <TensorType(int64, scalar)> ''
  447. > | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  448. > | | | | | | |Constant{1} [id HU] <int64>
  449. > | | | | | |Subtensor{int64} [id HV] <TensorType(int64, scalar)> ''
  450. > | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  451. > | | | | | | |Constant{0} [id HW] <int64>
  452. > | | | | | |Subtensor{int64} [id HX] <TensorType(int64, scalar)> ''
  453. > | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  454. > | | | | | | |Constant{1} [id HY] <int64>
  455. > | | | | | |Elemwise{add,no_inplace} [id HZ] <TensorType(int64, scalar)> ''
  456. > | | | | | | |Elemwise{sub,no_inplace} [id IA] <TensorType(int64, scalar)> ''
  457. > | | | | | | | |Subtensor{int64} [id IB] <TensorType(int64, scalar)> ''
  458. > | | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  459. > | | | | | | | | |Constant{3} [id IC] <int64>
  460. > | | | | | | | |Subtensor{int64} [id ID] <TensorType(int64, scalar)> ''
  461. > | | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  462. > | | | | | | | |Constant{3} [id IE] <int64>
  463. > | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  464. > | | | | | |Elemwise{add,no_inplace} [id IF] <TensorType(int64, scalar)> ''
  465. > | | | | | |Elemwise{sub,no_inplace} [id IG] <TensorType(int64, scalar)> ''
  466. > | | | | | | |Subtensor{int64} [id IH] <TensorType(int64, scalar)> ''
  467. > | | | | | | | |Shape [id GQ] <TensorType(int64, vector)> ''
  468. > | | | | | | | |Constant{4} [id II] <int64>
  469. > | | | | | | |Subtensor{int64} [id IJ] <TensorType(int64, scalar)> ''
  470. > | | | | | | |Shape [id HF] <TensorType(int64, vector)> ''
  471. > | | | | | | |Constant{4} [id IK] <int64>
  472. > | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  473. > | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  474. > | | | | |TensorConstant{3} [id IL] <TensorType(int8, scalar)>
  475. > | | | |Reshape{5} [id IM] <TensorType(float32, (True, False, False, False, False))> ''
  476. > | | | |dot [id IN] <TensorType(float32, row)> ''
  477. > | | | | |Elemwise{add,no_inplace} [id IO] <TensorType(float32, row)> ''
  478. > | | | | | |Elemwise{mul,no_inplace} [id IP] <TensorType(float32, row)> ''
  479. > | | | | | | |DimShuffle{x,x} [id IQ] <TensorType(float32, (True, True))> ''
  480. > | | | | | | | |TensorConstant{0.5049999952316284} [id IR] <TensorType(float32, scalar)>
  481. > | | | | | | |Elemwise{add,no_inplace} [id IS] <TensorType(float32, row)> ''
  482. > | | | | | | |dot [id IT] <TensorType(float32, row)> ''
  483. > | | | | | | | |Rebroadcast{1} [id IU] <TensorType(float32, row)> ''
  484. > | | | | | | | | |Reshape{2} [id IV] <TensorType(float32, matrix)> ''
  485. > | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id IW] <TensorType(float32, (True, False, False, False))> ''
  486. > | | | | | | | | | |Elemwise{add,no_inplace} [id IX] <TensorType(float32, (True, False, False, False))> ''
  487. > | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id IY] <TensorType(float32, (True, False, False, False))> ''
  488. > | | | | | | | | | | |Elemwise{add,no_inplace} [id IZ] <TensorType(float32, (True, False, False, False))> ''
  489. > | | | | | | | | | | |Elemwise{add,no_inplace} [id JA] <TensorType(float32, (True, False, False, False))> ''
  490. > | | | | | | | | | | | |ConvOp{('imshp', (256, 9, 9)),('kshp', (1, 1)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 9, 9)),('kshp_logical', (1, 1)),('kshp_logical_top_aligned', True)} [id JB] <TensorType(float32, (True, False, False, False))> ''
  491. > | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id JC] <TensorType(float32, (True, False, False, False))> ''
  492. > | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id JD] <TensorType(float32, (True, False, False, False))> ''
  493. > | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id JE] <TensorType(float32, (True, False, False, False))> ''
  494. > | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id JF] <TensorType(float32, (True, True, True, True))> ''
  495. > | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id JG] <TensorType(float32, scalar)>
  496. > | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id JH] <TensorType(float32, (True, False, False, False))> ''
  497. > | | | | | | | | | | | | | | |ConvOp{('imshp', (256, 19, 19)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 19, 19)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id JI] <TensorType(float32, (True, False, False, False))> ''
  498. > | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id JJ] <TensorType(float32, (True, False, False, False))> ''
  499. > | | | | | | | | | | | | | | | | |Alloc [id JK] <TensorType(float32, (True, False, False, False))> ''
  500. > | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  501. > | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  502. > | | | | | | | | | | | | | | | | | |TensorConstant{256} [id JL] <TensorType(int16, scalar)>
  503. > | | | | | | | | | | | | | | | | | |TensorConstant{19} [id JM] <TensorType(int8, scalar)>
  504. > | | | | | | | | | | | | | | | | | |TensorConstant{19} [id JN] <TensorType(int8, scalar)>
  505. > | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id JO] <TensorType(float32, (True, False, False, False))> ''
  506. > | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id JP] <TensorType(float32, (True, False, False, False))> ''
  507. > | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id JQ] <TensorType(float32, (True, True, True, True))> ''
  508. > | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id JR] <TensorType(float32, scalar)>
  509. > | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id JS] <TensorType(float32, (True, False, False, False))> ''
  510. > | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (256, 19, 19)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 19, 19)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id JT] <TensorType(float32, (True, False, False, False))> ''
  511. > | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id JU] <TensorType(float32, (True, False, False, False))> ''
  512. > | | | | | | | | | | | | | | | | | | | | |Alloc [id JV] <TensorType(float32, (True, False, False, False))> ''
  513. > | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  514. > | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  515. > | | | | | | | | | | | | | | | | | | | | | |TensorConstant{256} [id JW] <TensorType(int16, scalar)>
  516. > | | | | | | | | | | | | | | | | | | | | | |TensorConstant{19} [id JX] <TensorType(int8, scalar)>
  517. > | | | | | | | | | | | | | | | | | | | | | |TensorConstant{19} [id JY] <TensorType(int8, scalar)>
  518. > | | | | | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id JZ] <TensorType(float32, (True, False, False, False))> ''
  519. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KA] <TensorType(float32, (True, False, False, False))> ''
  520. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KB] <TensorType(float32, (True, False, False, False))> ''
  521. > | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (128, 33, 33)),('kshp', (1, 1)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (128, 33, 33)),('kshp_logical', (1, 1)),('kshp_logical_top_aligned', True)} [id KC] <TensorType(float32, (True, False, False, False))> ''
  522. > | | | | | | | | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id KD] <TensorType(float32, (True, False, False, False))> ''
  523. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KE] <TensorType(float32, (True, False, False, False))> ''
  524. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KF] <TensorType(float32, (True, False, False, False))> ''
  525. > | | | | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (96, 64, 64)),('kshp', (1, 1)),('nkern', 128),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (96, 64, 64)),('kshp_logical', (1, 1)),('kshp_logical_top_aligned', True)} [id KG] <TensorType(float32, (True, False, False, False))> ''
  526. > | | | | | | | | | | | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id KH] <TensorType(float32, (True, False, False, False))> ''
  527. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KI] <TensorType(float32, (True, False, False, False))> ''
  528. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id KJ] <TensorType(float32, (True, False, False, False))> ''
  529. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id KK] <TensorType(float32, (True, True, True, True))> ''
  530. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id KL] <TensorType(float32, scalar)>
  531. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KM] <TensorType(float32, (True, False, False, False))> ''
  532. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (96, 129, 129)),('kshp', (3, 3)),('nkern', 96),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', 1),('unroll_kern', 6),('unroll_patch', False),('imshp_logical', (96, 129, 129)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id KN] <TensorType(float32, (True, False, False, False))> ''
  533. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id KO] <TensorType(float32, (True, False, False, False))> ''
  534. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Alloc [id KP] <TensorType(float32, (True, False, False, False))> ''
  535. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  536. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  537. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{96} [id KQ] <TensorType(int8, scalar)>
  538. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{129} [id KR] <TensorType(int16, scalar)>
  539. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{129} [id KS] <TensorType(int16, scalar)>
  540. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KT] <TensorType(float32, (True, False, False, False))> ''
  541. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id KU] <TensorType(float32, (True, False, False, False))> ''
  542. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id KV] <TensorType(float32, (True, True, True, True))> ''
  543. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id KW] <TensorType(float32, scalar)>
  544. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KX] <TensorType(float32, (True, False, False, False))> ''
  545. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (3, 133, 133)),('kshp', (7, 7)),('nkern', 96),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', 1),('unroll_kern', 6),('unroll_patch', False),('imshp_logical', (3, 133, 133)),('kshp_logical', (7, 7)),('kshp_logical_top_aligned', True)} [id KY] <TensorType(float32, (True, False, False, False))> ''
  546. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id KZ] <TensorType(float32, (True, False, False, False))> ''
  547. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Alloc [id LA] <TensorType(float32, (True, False, False, False))> ''
  548. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  549. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  550. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{3} [id IL] <TensorType(int8, scalar)>
  551. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{133} [id LB] <TensorType(int16, scalar)>
  552. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{133} [id LC] <TensorType(int16, scalar)>
  553. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Rebroadcast{1} [id LD] <TensorType(float32, (True, False, False, False))> ''
  554. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id LE] <TensorType(float32, 4D)> -> [id H]
  555. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{3} [id LF] <int64>
  556. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{130} [id LG] <int64>
  557. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{3} [id LH] <int64>
  558. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{130} [id LI] <int64>
  559. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id LJ] <TensorType(float32, 4D)> -> [id CO]
  560. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id LK] <TensorType(float32, (True, False, True, True))> ''
  561. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id LL] <TensorType(float32, vector)> -> [id CQ]
  562. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id LM] <TensorType(float32, (True, False, False, False))> ''
  563. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id LN] <TensorType(float32, (True, True, True, True))> ''
  564. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id LO] <TensorType(float32, scalar)>
  565. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id LP] <TensorType(float32, (True, False, False, False))> ''
  566. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KX] <TensorType(float32, (True, False, False, False))> ''
  567. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id LQ] <int64>
  568. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{128} [id LR] <int64>
  569. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id LS] <int64>
  570. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{128} [id LT] <int64>
  571. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id LU] <TensorType(float32, 4D)> -> [id CS]
  572. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id LV] <TensorType(float32, (True, False, True, True))> ''
  573. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id LW] <TensorType(float32, vector)> -> [id CU]
  574. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id LX] <TensorType(float32, (True, False, False, False))> ''
  575. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id LY] <TensorType(float32, (True, True, True, True))> ''
  576. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id LZ] <TensorType(float32, scalar)>
  577. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id MA] <TensorType(float32, (True, False, False, False))> ''
  578. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id KM] <TensorType(float32, (True, False, False, False))> ''
  579. > | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id MB] <TensorType(float32, 4D)> -> [id CW]
  580. > | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id MC] <TensorType(float32, (True, False, True, True))> ''
  581. > | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id MD] <TensorType(float32, vector)> -> [id CY]
  582. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id ME] <TensorType(float32, (True, False, False, False))> ''
  583. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id MF] <TensorType(float32, (True, False, False, False))> ''
  584. > | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id MG] <TensorType(float32, (True, True, True, True))> ''
  585. > | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id MH] <TensorType(float32, scalar)>
  586. > | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id MI] <TensorType(float32, (True, False, False, False))> ''
  587. > | | | | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (128, 66, 66)),('kshp', (3, 3)),('nkern', 128),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (128, 66, 66)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id MJ] <TensorType(float32, (True, False, False, False))> ''
  588. > | | | | | | | | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id MK] <TensorType(float32, (True, False, False, False))> ''
  589. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Alloc [id ML] <TensorType(float32, (True, False, False, False))> ''
  590. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  591. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  592. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{128} [id MM] <TensorType(int16, scalar)>
  593. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{66} [id MN] <TensorType(int8, scalar)>
  594. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{66} [id MO] <TensorType(int8, scalar)>
  595. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id MP] <TensorType(float32, (True, False, False, False))> ''
  596. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id MQ] <TensorType(float32, (True, False, False, False))> ''
  597. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id MR] <TensorType(float32, (True, True, True, True))> ''
  598. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id MS] <TensorType(float32, scalar)>
  599. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id MT] <TensorType(float32, (True, False, False, False))> ''
  600. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (96, 66, 66)),('kshp', (3, 3)),('nkern', 128),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (96, 66, 66)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id MU] <TensorType(float32, (True, False, False, False))> ''
  601. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id MV] <TensorType(float32, (True, False, False, False))> ''
  602. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Alloc [id MW] <TensorType(float32, (True, False, False, False))> ''
  603. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  604. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  605. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{96} [id MX] <TensorType(int8, scalar)>
  606. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{66} [id MY] <TensorType(int8, scalar)>
  607. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{66} [id MZ] <TensorType(int8, scalar)>
  608. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id KH] <TensorType(float32, (True, False, False, False))> ''
  609. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id NA] <int64>
  610. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{65} [id NB] <int64>
  611. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id NC] <int64>
  612. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{65} [id ND] <int64>
  613. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id NE] <TensorType(float32, 4D)> -> [id DA]
  614. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id NF] <TensorType(float32, (True, False, True, True))> ''
  615. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id NG] <TensorType(float32, vector)> -> [id DC]
  616. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id NH] <TensorType(float32, (True, False, False, False))> ''
  617. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id NI] <TensorType(float32, (True, True, True, True))> ''
  618. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id NJ] <TensorType(float32, scalar)>
  619. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id NK] <TensorType(float32, (True, False, False, False))> ''
  620. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id MT] <TensorType(float32, (True, False, False, False))> ''
  621. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id NL] <int64>
  622. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{65} [id NM] <int64>
  623. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id NN] <int64>
  624. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{65} [id NO] <int64>
  625. > | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id NP] <TensorType(float32, 4D)> -> [id DE]
  626. > | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id NQ] <TensorType(float32, (True, False, True, True))> ''
  627. > | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id NR] <TensorType(float32, vector)> -> [id DG]
  628. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id NS] <TensorType(float32, (True, False, False, False))> ''
  629. > | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id NT] <TensorType(float32, (True, True, True, True))> ''
  630. > | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id NU] <TensorType(float32, scalar)>
  631. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id NV] <TensorType(float32, (True, False, False, False))> ''
  632. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id MI] <TensorType(float32, (True, False, False, False))> ''
  633. > | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id NW] <TensorType(float32, 4D)> -> [id DI]
  634. > | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id NX] <TensorType(float32, (True, False, True, True))> ''
  635. > | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id NY] <TensorType(float32, vector)> -> [id DK]
  636. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id NZ] <TensorType(float32, (True, False, False, False))> ''
  637. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id OA] <TensorType(float32, (True, False, False, False))> ''
  638. > | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id OB] <TensorType(float32, (True, True, True, True))> ''
  639. > | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id OC] <TensorType(float32, scalar)>
  640. > | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id OD] <TensorType(float32, (True, False, False, False))> ''
  641. > | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (256, 35, 35)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 35, 35)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id OE] <TensorType(float32, (True, False, False, False))> ''
  642. > | | | | | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id OF] <TensorType(float32, (True, False, False, False))> ''
  643. > | | | | | | | | | | | | | | | | | | | | | | | | |Alloc [id OG] <TensorType(float32, (True, False, False, False))> ''
  644. > | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  645. > | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  646. > | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{256} [id OH] <TensorType(int16, scalar)>
  647. > | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{35} [id OI] <TensorType(int8, scalar)>
  648. > | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{35} [id OJ] <TensorType(int8, scalar)>
  649. > | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id OK] <TensorType(float32, (True, False, False, False))> ''
  650. > | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id OL] <TensorType(float32, (True, False, False, False))> ''
  651. > | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id OM] <TensorType(float32, (True, True, True, True))> ''
  652. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id ON] <TensorType(float32, scalar)>
  653. > | | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id OO] <TensorType(float32, (True, False, False, False))> ''
  654. > | | | | | | | | | | | | | | | | | | | | | | | | | | |ConvOp{('imshp', (128, 35, 35)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (128, 35, 35)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id OP] <TensorType(float32, (True, False, False, False))> ''
  655. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id OQ] <TensorType(float32, (True, False, False, False))> ''
  656. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Alloc [id OR] <TensorType(float32, (True, False, False, False))> ''
  657. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  658. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  659. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{128} [id OS] <TensorType(int16, scalar)>
  660. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{35} [id OT] <TensorType(int8, scalar)>
  661. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{35} [id OU] <TensorType(int8, scalar)>
  662. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id KD] <TensorType(float32, (True, False, False, False))> ''
  663. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id OV] <int64>
  664. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{34} [id OW] <int64>
  665. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id OX] <int64>
  666. > | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Constant{34} [id OY] <int64>
  667. > | | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id OZ] <TensorType(float32, 4D)> -> [id DM]
  668. > | | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id PA] <TensorType(float32, (True, False, True, True))> ''
  669. > | | | | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id PB] <TensorType(float32, vector)> -> [id DO]
  670. > | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id PC] <TensorType(float32, (True, False, False, False))> ''
  671. > | | | | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id PD] <TensorType(float32, (True, True, True, True))> ''
  672. > | | | | | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id PE] <TensorType(float32, scalar)>
  673. > | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id PF] <TensorType(float32, (True, False, False, False))> ''
  674. > | | | | | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id OO] <TensorType(float32, (True, False, False, False))> ''
  675. > | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id PG] <int64>
  676. > | | | | | | | | | | | | | | | | | | | | | | | | |Constant{34} [id PH] <int64>
  677. > | | | | | | | | | | | | | | | | | | | | | | | | |Constant{1} [id PI] <int64>
  678. > | | | | | | | | | | | | | | | | | | | | | | | | |Constant{34} [id PJ] <int64>
  679. > | | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id PK] <TensorType(float32, 4D)> -> [id DQ]
  680. > | | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id PL] <TensorType(float32, (True, False, True, True))> ''
  681. > | | | | | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id PM] <TensorType(float32, vector)> -> [id DS]
  682. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id PN] <TensorType(float32, (True, False, False, False))> ''
  683. > | | | | | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id PO] <TensorType(float32, (True, True, True, True))> ''
  684. > | | | | | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id PP] <TensorType(float32, scalar)>
  685. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id PQ] <TensorType(float32, (True, False, False, False))> ''
  686. > | | | | | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id OD] <TensorType(float32, (True, False, False, False))> ''
  687. > | | | | | | | | | | | | | | | | | | | | |Constant{1} [id PR] <int64>
  688. > | | | | | | | | | | | | | | | | | | | | |Constant{18} [id PS] <int64>
  689. > | | | | | | | | | | | | | | | | | | | | |Constant{1} [id PT] <int64>
  690. > | | | | | | | | | | | | | | | | | | | | |Constant{18} [id PU] <int64>
  691. > | | | | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id PV] <TensorType(float32, 4D)> -> [id DU]
  692. > | | | | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id PW] <TensorType(float32, (True, False, True, True))> ''
  693. > | | | | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id PX] <TensorType(float32, vector)> -> [id DW]
  694. > | | | | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id PY] <TensorType(float32, (True, False, False, False))> ''
  695. > | | | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id PZ] <TensorType(float32, (True, True, True, True))> ''
  696. > | | | | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id QA] <TensorType(float32, scalar)>
  697. > | | | | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id QB] <TensorType(float32, (True, False, False, False))> ''
  698. > | | | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id JS] <TensorType(float32, (True, False, False, False))> ''
  699. > | | | | | | | | | | | | | | | | |Constant{1} [id QC] <int64>
  700. > | | | | | | | | | | | | | | | | |Constant{18} [id QD] <int64>
  701. > | | | | | | | | | | | | | | | | |Constant{1} [id QE] <int64>
  702. > | | | | | | | | | | | | | | | | |Constant{18} [id QF] <int64>
  703. > | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id QG] <TensorType(float32, 4D)> -> [id DY]
  704. > | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id QH] <TensorType(float32, (True, False, True, True))> ''
  705. > | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id QI] <TensorType(float32, vector)> -> [id EA]
  706. > | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id QJ] <TensorType(float32, (True, False, False, False))> ''
  707. > | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id QK] <TensorType(float32, (True, True, True, True))> ''
  708. > | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id QL] <TensorType(float32, scalar)>
  709. > | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id QM] <TensorType(float32, (True, False, False, False))> ''
  710. > | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id JH] <TensorType(float32, (True, False, False, False))> ''
  711. > | | | | | | | | | | | | |<TensorType(float32, 4D)> [id QN] <TensorType(float32, 4D)> -> [id EC]
  712. > | | | | | | | | | | | |DimShuffle{x,0,x,x} [id QO] <TensorType(float32, (True, False, True, True))> ''
  713. > | | | | | | | | | | | |<TensorType(float32, vector)> [id QP] <TensorType(float32, vector)> -> [id EE]
  714. > | | | | | | | | | | |Elemwise{add,no_inplace} [id QQ] <TensorType(float32, (True, False, False, False))> ''
  715. > | | | | | | | | | | |Elemwise{mul,no_inplace} [id QR] <TensorType(float32, (True, False, False, False))> ''
  716. > | | | | | | | | | | | |DimShuffle{x,x,x,x} [id QS] <TensorType(float32, (True, True, True, True))> ''
  717. > | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id QT] <TensorType(float32, scalar)>
  718. > | | | | | | | | | | | |Elemwise{add,no_inplace} [id QU] <TensorType(float32, (True, False, False, False))> ''
  719. > | | | | | | | | | | | |ConvOp{('imshp', (256, 11, 11)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 11, 11)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id QV] <TensorType(float32, (True, False, False, False))> ''
  720. > | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id QW] <TensorType(float32, (True, False, False, False))> ''
  721. > | | | | | | | | | | | | | |Alloc [id QX] <TensorType(float32, (True, False, False, False))> ''
  722. > | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  723. > | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  724. > | | | | | | | | | | | | | | |TensorConstant{256} [id QY] <TensorType(int16, scalar)>
  725. > | | | | | | | | | | | | | | |TensorConstant{11} [id QZ] <TensorType(int8, scalar)>
  726. > | | | | | | | | | | | | | | |TensorConstant{11} [id RA] <TensorType(int8, scalar)>
  727. > | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id RB] <TensorType(float32, (True, False, False, False))> ''
  728. > | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id RC] <TensorType(float32, (True, False, False, False))> ''
  729. > | | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id RD] <TensorType(float32, (True, True, True, True))> ''
  730. > | | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id RE] <TensorType(float32, scalar)>
  731. > | | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id RF] <TensorType(float32, (True, False, False, False))> ''
  732. > | | | | | | | | | | | | | | | |ConvOp{('imshp', (256, 11, 11)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 11, 11)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id RG] <TensorType(float32, (True, False, False, False))> ''
  733. > | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id RH] <TensorType(float32, (True, False, False, False))> ''
  734. > | | | | | | | | | | | | | | | | | |Alloc [id RI] <TensorType(float32, (True, False, False, False))> ''
  735. > | | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  736. > | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  737. > | | | | | | | | | | | | | | | | | | |TensorConstant{256} [id RJ] <TensorType(int16, scalar)>
  738. > | | | | | | | | | | | | | | | | | | |TensorConstant{11} [id RK] <TensorType(int8, scalar)>
  739. > | | | | | | | | | | | | | | | | | | |TensorConstant{11} [id RL] <TensorType(int8, scalar)>
  740. > | | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id JC] <TensorType(float32, (True, False, False, False))> ''
  741. > | | | | | | | | | | | | | | | | | |Constant{1} [id RM] <int64>
  742. > | | | | | | | | | | | | | | | | | |Constant{10} [id RN] <int64>
  743. > | | | | | | | | | | | | | | | | | |Constant{1} [id RO] <int64>
  744. > | | | | | | | | | | | | | | | | | |Constant{10} [id RP] <int64>
  745. > | | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id RQ] <TensorType(float32, 4D)> -> [id EG]
  746. > | | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id RR] <TensorType(float32, (True, False, True, True))> ''
  747. > | | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id RS] <TensorType(float32, vector)> -> [id EI]
  748. > | | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id RT] <TensorType(float32, (True, False, False, False))> ''
  749. > | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id RU] <TensorType(float32, (True, True, True, True))> ''
  750. > | | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id RV] <TensorType(float32, scalar)>
  751. > | | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id RW] <TensorType(float32, (True, False, False, False))> ''
  752. > | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id RF] <TensorType(float32, (True, False, False, False))> ''
  753. > | | | | | | | | | | | | | |Constant{1} [id RX] <int64>
  754. > | | | | | | | | | | | | | |Constant{10} [id RY] <int64>
  755. > | | | | | | | | | | | | | |Constant{1} [id RZ] <int64>
  756. > | | | | | | | | | | | | | |Constant{10} [id SA] <int64>
  757. > | | | | | | | | | | | | |<TensorType(float32, 4D)> [id SB] <TensorType(float32, 4D)> -> [id EK]
  758. > | | | | | | | | | | | |DimShuffle{x,0,x,x} [id SC] <TensorType(float32, (True, False, True, True))> ''
  759. > | | | | | | | | | | | |<TensorType(float32, vector)> [id SD] <TensorType(float32, vector)> -> [id EM]
  760. > | | | | | | | | | | |Elemwise{mul,no_inplace} [id SE] <TensorType(float32, (True, False, False, False))> ''
  761. > | | | | | | | | | | |DimShuffle{x,x,x,x} [id SF] <TensorType(float32, (True, True, True, True))> ''
  762. > | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id SG] <TensorType(float32, scalar)>
  763. > | | | | | | | | | | |Elemwise{abs_,no_inplace} [id SH] <TensorType(float32, (True, False, False, False))> ''
  764. > | | | | | | | | | | |Elemwise{add,no_inplace} [id QU] <TensorType(float32, (True, False, False, False))> ''
  765. > | | | | | | | | | |Elemwise{add,no_inplace} [id SI] <TensorType(float32, (True, False, False, False))> ''
  766. > | | | | | | | | | |Elemwise{mul,no_inplace} [id SJ] <TensorType(float32, (True, False, False, False))> ''
  767. > | | | | | | | | | | |DimShuffle{x,x,x,x} [id SK] <TensorType(float32, (True, True, True, True))> ''
  768. > | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id SL] <TensorType(float32, scalar)>
  769. > | | | | | | | | | | |Elemwise{add,no_inplace} [id SM] <TensorType(float32, (True, False, False, False))> ''
  770. > | | | | | | | | | | |ConvOp{('imshp', (256, 7, 7)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 7, 7)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id SN] <TensorType(float32, (True, False, False, False))> ''
  771. > | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id SO] <TensorType(float32, (True, False, False, False))> ''
  772. > | | | | | | | | | | | | |Alloc [id SP] <TensorType(float32, (True, False, False, False))> ''
  773. > | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  774. > | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  775. > | | | | | | | | | | | | | |TensorConstant{256} [id SQ] <TensorType(int16, scalar)>
  776. > | | | | | | | | | | | | | |TensorConstant{7} [id SR] <TensorType(int8, scalar)>
  777. > | | | | | | | | | | | | | |TensorConstant{7} [id SR] <TensorType(int8, scalar)>
  778. > | | | | | | | | | | | | |Elemwise{add,no_inplace} [id SS] <TensorType(float32, (True, False, False, False))> ''
  779. > | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id ST] <TensorType(float32, (True, False, False, False))> ''
  780. > | | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id SU] <TensorType(float32, (True, True, True, True))> ''
  781. > | | | | | | | | | | | | | | | |TensorConstant{0.5049999952316284} [id SV] <TensorType(float32, scalar)>
  782. > | | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id SW] <TensorType(float32, (True, False, False, False))> ''
  783. > | | | | | | | | | | | | | | |ConvOp{('imshp', (256, 7, 7)),('kshp', (3, 3)),('nkern', 256),('bsize', 1),('dx', 1),('dy', 1),('out_mode', 'valid'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (256, 7, 7)),('kshp_logical', (3, 3)),('kshp_logical_top_aligned', True)} [id SX] <TensorType(float32, (True, False, False, False))> ''
  784. > | | | | | | | | | | | | | | | |IncSubtensor{Set;::, ::, int64:int64:, int64:int64:} [id SY] <TensorType(float32, (True, False, False, False))> ''
  785. > | | | | | | | | | | | | | | | | |Alloc [id SZ] <TensorType(float32, (True, False, False, False))> ''
  786. > | | | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  787. > | | | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  788. > | | | | | | | | | | | | | | | | | |TensorConstant{256} [id TA] <TensorType(int16, scalar)>
  789. > | | | | | | | | | | | | | | | | | |TensorConstant{7} [id SR] <TensorType(int8, scalar)>
  790. > | | | | | | | | | | | | | | | | | |TensorConstant{7} [id SR] <TensorType(int8, scalar)>
  791. > | | | | | | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id IY] <TensorType(float32, (True, False, False, False))> ''
  792. > | | | | | | | | | | | | | | | | |Constant{1} [id TB] <int64>
  793. > | | | | | | | | | | | | | | | | |Constant{6} [id TC] <int64>
  794. > | | | | | | | | | | | | | | | | |Constant{1} [id TD] <int64>
  795. > | | | | | | | | | | | | | | | | |Constant{6} [id TE] <int64>
  796. > | | | | | | | | | | | | | | | |<TensorType(float32, 4D)> [id TF] <TensorType(float32, 4D)> -> [id EO]
  797. > | | | | | | | | | | | | | | |DimShuffle{x,0,x,x} [id TG] <TensorType(float32, (True, False, True, True))> ''
  798. > | | | | | | | | | | | | | | |<TensorType(float32, vector)> [id TH] <TensorType(float32, vector)> -> [id EQ]
  799. > | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id TI] <TensorType(float32, (True, False, False, False))> ''
  800. > | | | | | | | | | | | | | |DimShuffle{x,x,x,x} [id TJ] <TensorType(float32, (True, True, True, True))> ''
  801. > | | | | | | | | | | | | | | |TensorConstant{0.4950000047683716} [id TK] <TensorType(float32, scalar)>
  802. > | | | | | | | | | | | | | |Elemwise{abs_,no_inplace} [id TL] <TensorType(float32, (True, False, False, False))> ''
  803. > | | | | | | | | | | | | | |Elemwise{add,no_inplace} [id SW] <TensorType(float32, (True, False, False, False))> ''
  804. > | | | | | | | | | | | | |Constant{1} [id TM] <int64>
  805. > | | | | | | | | | | | | |Constant{6} [id TN] <int64>
  806. > | | | | | | | | | | | | |Constant{1} [id TO] <int64>
  807. > | | | | | | | | | | | | |Constant{6} [id TP] <int64>
  808. > | | | | | | | | | | | |<TensorType(float32, 4D)> [id TQ] <TensorType(float32, 4D)> -> [id ES]
  809. > | | | | | | | | | | |DimShuffle{x,0,x,x} [id TR] <TensorType(float32, (True, False, True, True))> ''
  810. > | | | | | | | | | | |<TensorType(float32, vector)> [id TS] <TensorType(float32, vector)> -> [id EU]
  811. > | | | | | | | | | |Elemwise{mul,no_inplace} [id TT] <TensorType(float32, (True, False, False, False))> ''
  812. > | | | | | | | | | |DimShuffle{x,x,x,x} [id TU] <TensorType(float32, (True, True, True, True))> ''
  813. > | | | | | | | | | | |TensorConstant{0.4950000047683716} [id TV] <TensorType(float32, scalar)>
  814. > | | | | | | | | | |Elemwise{abs_,no_inplace} [id TW] <TensorType(float32, (True, False, False, False))> ''
  815. > | | | | | | | | | |Elemwise{add,no_inplace} [id SM] <TensorType(float32, (True, False, False, False))> ''
  816. > | | | | | | | | |MakeVector{dtype='int64'} [id TX] <TensorType(int64, vector)> ''
  817. > | | | | | | | | |Subtensor{int64} [id TY] <TensorType(int64, scalar)> ''
  818. > | | | | | | | | | |Subtensor{:int64:} [id TZ] <TensorType(int64, vector)> ''
  819. > | | | | | | | | | | |Shape [id UA] <TensorType(int64, vector)> ''
  820. > | | | | | | | | | | | |Pool{ds=(2, 2), ignore_border=True, st=(2, 2), padding=(1, 1), mode='max'} [id IW] <TensorType(float32, (True, False, False, False))> ''
  821. > | | | | | | | | | | |Constant{1} [id UB] <int64>
  822. > | | | | | | | | | |Constant{0} [id UC] <int64>
  823. > | | | | | | | | |Elemwise{Cast{int64}} [id UD] <TensorType(int64, scalar)> ''
  824. > | | | | | | | | |TensorConstant{-1} [id UE] <TensorType(int8, scalar)>
  825. > | | | | | | | |<TensorType(float32, matrix)> [id UF] <TensorType(float32, matrix)> -> [id EW]
  826. > | | | | | | |DimShuffle{x,0} [id UG] <TensorType(float32, row)> ''
  827. > | | | | | | |<TensorType(float32, vector)> [id UH] <TensorType(float32, vector)> -> [id EY]
  828. > | | | | | |Elemwise{mul,no_inplace} [id UI] <TensorType(float32, row)> ''
  829. > | | | | | |DimShuffle{x,x} [id UJ] <TensorType(float32, (True, True))> ''
  830. > | | | | | | |TensorConstant{0.4950000047683716} [id UK] <TensorType(float32, scalar)>
  831. > | | | | | |Elemwise{abs_,no_inplace} [id UL] <TensorType(float32, row)> ''
  832. > | | | | | |Elemwise{add,no_inplace} [id IS] <TensorType(float32, row)> ''
  833. > | | | | |<TensorType(float32, matrix)> [id UM] <TensorType(float32, matrix)> -> [id FA]
  834. > | | | |TensorConstant{[ 1 4 1..8 4 4]} [id UN] <TensorType(int64, vector)>
  835. > | | |DimShuffle{x,x,0,x,x} [id UO] <TensorType(float32, (True, True, False, True, True))> ''
  836. > | | |<TensorType(float32, vector)> [id UP] <TensorType(float32, vector)> -> [id FC]
  837. > | |<TensorType(float32, (True, False, False, False, False))> [id GG] <TensorType(float32, (True, False, False, False, False))> -> [id J]
  838. > |Elemwise{mul,no_inplace} [id UQ] <TensorType(float32, (True, False, False, False, False))> ''
  839. > |Elemwise{sub,no_inplace} [id UR] <TensorType(float32, (True, False, False, False, False))> ''
  840. > | |Elemwise{second,no_inplace} [id US] <TensorType(float32, (True, False, False, False, False))> ''
  841. > | | |sigmoid [id FS] <TensorType(float32, (True, False, False, False, False))> ''
  842. > | | |DimShuffle{x,x,x,x,x} [id UT] <TensorType(float32, (True, True, True, True, True))> ''
  843. > | | |TensorConstant{1.0} [id UU] <TensorType(float32, scalar)>
  844. > | |sigmoid [id FS] <TensorType(float32, (True, False, False, False, False))> ''
  845. > |Elemwise{tanh,no_inplace} [id UV] <TensorType(float32, (True, False, False, False, False))> ''
  846. > |Elemwise{add,no_inplace} [id UW] <TensorType(float32, (True, False, False, False, False))> ''
  847. > |Elemwise{add,no_inplace} [id UX] <TensorType(float32, (True, False, False, False, False))> ''
  848. > | |Sum{axis=[3], acc_dtype=float64} [id UY] <TensorType(float32, (True, False, False, False, False))> ''
  849. > | | |DiagonalSubtensor [id UZ] <TensorType(float32, (True, False, False, False, False, False))> ''
  850. > | | |Reshape{6} [id VA] <TensorType(float32, (True, False, False, False, False, False))> ''
  851. > | | | |AbstractConv2d{border_mode='valid', subsample=(1, 1), filter_flip=True, imshp=(None, None, None, None), kshp=(None, None, None, None)} [id VB] <TensorType(float32, 4D)> ''
  852. > | | | | |Reshape{4} [id VC] <TensorType(float32, 4D)> ''
  853. > | | | | | |IncSubtensor{Set;::, int64:int64:, ::, int64:int64:, int64:int64:} [id VD] <TensorType(float32, (True, False, False, False, False))> ''
  854. > | | | | | | |Alloc [id VE] <TensorType(float32, (True, False, False, False, False))> ''
  855. > | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  856. > | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  857. > | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  858. > | | | | | | | |TensorConstant{128} [id VF] <TensorType(int16, scalar)>
  859. > | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  860. > | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  861. > | | | | | | |Elemwise{mul,no_inplace} [id VG] <TensorType(float32, (True, False, False, False, False))> ''
  862. > | | | | | | | |sigmoid [id VH] <TensorType(float32, (True, False, False, False, False))> ''
  863. > | | | | | | | | |Elemwise{add,no_inplace} [id VI] <TensorType(float32, (True, False, False, False, False))> ''
  864. > | | | | | | | | |Elemwise{add,no_inplace} [id VJ] <TensorType(float32, (True, False, False, False, False))> ''
  865. > | | | | | | | | | |Sum{axis=[3], acc_dtype=float64} [id VK] <TensorType(float32, (True, False, False, False, False))> ''
  866. > | | | | | | | | | | |DiagonalSubtensor [id VL] <TensorType(float32, (True, False, False, False, False, False))> ''
  867. > | | | | | | | | | | |Reshape{6} [id VM] <TensorType(float32, (True, False, False, False, False, False))> ''
  868. > | | | | | | | | | | | |AbstractConv2d{border_mode='valid', subsample=(1, 1), filter_flip=True, imshp=(None, None, None, None), kshp=(None, None, None, None)} [id VN] <TensorType(float32, 4D)> ''
  869. > | | | | | | | | | | | | |Reshape{4} [id VO] <TensorType(float32, 4D)> ''
  870. > | | | | | | | | | | | | | |IncSubtensor{Set;::, int64:int64:, ::, int64:int64:, int64:int64:} [id VP] <TensorType(float32, (True, False, False, False, False))> ''
  871. > | | | | | | | | | | | | | | |Alloc [id VQ] <TensorType(float32, (True, False, False, False, False))> ''
  872. > | | | | | | | | | | | | | | | |TensorConstant{0.0} [id GC] <TensorType(float32, scalar)>
  873. > | | | | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  874. > | | | | | | | | | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  875. > | | | | | | | | | | | | | | | |TensorConstant{128} [id VR] <TensorType(int16, scalar)>
  876. > | | | | | | | | | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  877. > | | | | | | | | | | | | | | | |TensorConstant{6} [id GE] <TensorType(int8, scalar)>
  878. > | | | | | | | | | | | | | | |<TensorType(float32, (True, False, False, False, False))> [id GG] <TensorType(float32, (True, False, False, False, False))> -> [id J]
  879. > | | | | | | | | | | | | | | |Constant{1} [id VS] <int64>
  880. > | | | | | | | | | | | | | | |Constant{5} [id VT] <int64>
  881. > | | | | | | | | | | | | | | |Constant{1} [id VU] <int64>
  882. > | | | | | | | | | | | | | | |Constant{5} [id VV] <int64>
  883. > | | | | | | | | | | | | | | |Constant{1} [id VW] <int64>
  884. > | | | | | | | | | | | | | | |Constant{5} [id VX] <int64>
  885. > | | | | | | | | | | | | | |MakeVector{dtype='int64'} [id VY] <TensorType(int64, vector)> ''
  886. > | | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id VZ] <TensorType(int64, scalar)> ''
  887. > | | | | | | | | | | | | | | |Subtensor{int64} [id WA] <TensorType(int64, scalar)> ''
  888. > | | | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  889. > | | | | | | | | | | | | | | | | |IncSubtensor{Set;::, int64:int64:, ::, int64:int64:, int64:int64:} [id VP] <TensorType(float32, (True, False, False, False, False))> ''
  890. > | | | | | | | | | | | | | | | |Constant{0} [id WC] <int64>
  891. > | | | | | | | | | | | | | | |Subtensor{int64} [id WD] <TensorType(int64, scalar)> ''
  892. > | | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  893. > | | | | | | | | | | | | | | |Constant{1} [id WE] <int64>
  894. > | | | | | | | | | | | | | |Subtensor{int64} [id WF] <TensorType(int64, scalar)> ''
  895. > | | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  896. > | | | | | | | | | | | | | | |Constant{2} [id WG] <int64>
  897. > | | | | | | | | | | | | | |Subtensor{int64} [id WH] <TensorType(int64, scalar)> ''
  898. > | | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  899. > | | | | | | | | | | | | | | |Constant{3} [id WI] <int64>
  900. > | | | | | | | | | | | | | |Subtensor{int64} [id WJ] <TensorType(int64, scalar)> ''
  901. > | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  902. > | | | | | | | | | | | | | |Constant{4} [id WK] <int64>
  903. > | | | | | | | | | | | | |Reshape{4} [id WL] <TensorType(float32, 4D)> ''
  904. > | | | | | | | | | | | | |<TensorType(float32, 5D)> [id WM] <TensorType(float32, 5D)> -> [id FE]
  905. > | | | | | | | | | | | | |MakeVector{dtype='int64'} [id WN] <TensorType(int64, vector)> ''
  906. > | | | | | | | | | | | | |Elemwise{mul,no_inplace} [id WO] <TensorType(int64, scalar)> ''
  907. > | | | | | | | | | | | | | |Subtensor{int64} [id WP] <TensorType(int64, scalar)> ''
  908. > | | | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  909. > | | | | | | | | | | | | | | | |GpuFromHost [id WR] <CudaNdarrayType(float32, 5D)> ''
  910. > | | | | | | | | | | | | | | | |<TensorType(float32, 5D)> [id WM] <TensorType(float32, 5D)> -> [id FE]
  911. > | | | | | | | | | | | | | | |Constant{0} [id WS] <int64>
  912. > | | | | | | | | | | | | | |Subtensor{int64} [id WT] <TensorType(int64, scalar)> ''
  913. > | | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  914. > | | | | | | | | | | | | | |Constant{1} [id WU] <int64>
  915. > | | | | | | | | | | | | |Subtensor{int64} [id WV] <TensorType(int64, scalar)> ''
  916. > | | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  917. > | | | | | | | | | | | | | |Constant{2} [id WW] <int64>
  918. > | | | | | | | | | | | | |Subtensor{int64} [id WX] <TensorType(int64, scalar)> ''
  919. > | | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  920. > | | | | | | | | | | | | | |Constant{3} [id WY] <int64>
  921. > | | | | | | | | | | | | |Subtensor{int64} [id WZ] <TensorType(int64, scalar)> ''
  922. > | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  923. > | | | | | | | | | | | | |Constant{4} [id XA] <int64>
  924. > | | | | | | | | | | | |MakeVector{dtype='int64'} [id XB] <TensorType(int64, vector)> ''
  925. > | | | | | | | | | | | |Subtensor{int64} [id XC] <TensorType(int64, scalar)> ''
  926. > | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  927. > | | | | | | | | | | | | |Constant{0} [id XD] <int64>
  928. > | | | | | | | | | | | |Subtensor{int64} [id XE] <TensorType(int64, scalar)> ''
  929. > | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  930. > | | | | | | | | | | | | |Constant{1} [id XF] <int64>
  931. > | | | | | | | | | | | |Subtensor{int64} [id XG] <TensorType(int64, scalar)> ''
  932. > | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  933. > | | | | | | | | | | | | |Constant{0} [id XH] <int64>
  934. > | | | | | | | | | | | |Subtensor{int64} [id XI] <TensorType(int64, scalar)> ''
  935. > | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  936. > | | | | | | | | | | | | |Constant{1} [id XJ] <int64>
  937. > | | | | | | | | | | | |Elemwise{add,no_inplace} [id XK] <TensorType(int64, scalar)> ''
  938. > | | | | | | | | | | | | |Elemwise{sub,no_inplace} [id XL] <TensorType(int64, scalar)> ''
  939. > | | | | | | | | | | | | | |Subtensor{int64} [id XM] <TensorType(int64, scalar)> ''
  940. > | | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  941. > | | | | | | | | | | | | | | |Constant{3} [id XN] <int64>
  942. > | | | | | | | | | | | | | |Subtensor{int64} [id XO] <TensorType(int64, scalar)> ''
  943. > | | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  944. > | | | | | | | | | | | | | |Constant{3} [id XP] <int64>
  945. > | | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  946. > | | | | | | | | | | | |Elemwise{add,no_inplace} [id XQ] <TensorType(int64, scalar)> ''
  947. > | | | | | | | | | | | |Elemwise{sub,no_inplace} [id XR] <TensorType(int64, scalar)> ''
  948. > | | | | | | | | | | | | |Subtensor{int64} [id XS] <TensorType(int64, scalar)> ''
  949. > | | | | | | | | | | | | | |Shape [id WB] <TensorType(int64, vector)> ''
  950. > | | | | | | | | | | | | | |Constant{4} [id XT] <int64>
  951. > | | | | | | | | | | | | |Subtensor{int64} [id XU] <TensorType(int64, scalar)> ''
  952. > | | | | | | | | | | | | |Shape [id WQ] <TensorType(int64, vector)> ''
  953. > | | | | | | | | | | | | |Constant{4} [id XV] <int64>
  954. > | | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  955. > | | | | | | | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  956. > | | | | | | | | | | |TensorConstant{3} [id IL] <TensorType(int8, scalar)>
  957. > | | | | | | | | | |Reshape{5} [id XW] <TensorType(float32, (True, False, False, False, False))> ''
  958. > | | | | | | | | | |dot [id XX] <TensorType(float32, row)> ''
  959. > | | | | | | | | | | |Elemwise{add,no_inplace} [id IO] <TensorType(float32, row)> ''
  960. > | | | | | | | | | | |<TensorType(float32, matrix)> [id XY] <TensorType(float32, matrix)> -> [id FG]
  961. > | | | | | | | | | |TensorConstant{[ 1 4 1..8 4 4]} [id XZ] <TensorType(int64, vector)>
  962. > | | | | | | | | |DimShuffle{x,x,0,x,x} [id YA] <TensorType(float32, (True, True, False, True, True))> ''
  963. > | | | | | | | | |<TensorType(float32, vector)> [id YB] <TensorType(float32, vector)> -> [id FI]
  964. > | | | | | | | |<TensorType(float32, (True, False, False, False, False))> [id GG] <TensorType(float32, (True, False, False, False, False))> -> [id J]
  965. > | | | | | | |Constant{1} [id YC] <int64>
  966. > | | | | | | |Constant{5} [id YD] <int64>
  967. > | | | | | | |Constant{1} [id YE] <int64>
  968. > | | | | | | |Constant{5} [id YF] <int64>
  969. > | | | | | | |Constant{1} [id YG] <int64>
  970. > | | | | | | |Constant{5} [id YH] <int64>
  971. > | | | | | |MakeVector{dtype='int64'} [id YI] <TensorType(int64, vector)> ''
  972. > | | | | | |Elemwise{mul,no_inplace} [id YJ] <TensorType(int64, scalar)> ''
  973. > | | | | | | |Subtensor{int64} [id YK] <TensorType(int64, scalar)> ''
  974. > | | | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  975. > | | | | | | | | |IncSubtensor{Set;::, int64:int64:, ::, int64:int64:, int64:int64:} [id VD] <TensorType(float32, (True, False, False, False, False))> ''
  976. > | | | | | | | |Constant{0} [id YM] <int64>
  977. > | | | | | | |Subtensor{int64} [id YN] <TensorType(int64, scalar)> ''
  978. > | | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  979. > | | | | | | |Constant{1} [id YO] <int64>
  980. > | | | | | |Subtensor{int64} [id YP] <TensorType(int64, scalar)> ''
  981. > | | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  982. > | | | | | | |Constant{2} [id YQ] <int64>
  983. > | | | | | |Subtensor{int64} [id YR] <TensorType(int64, scalar)> ''
  984. > | | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  985. > | | | | | | |Constant{3} [id YS] <int64>
  986. > | | | | | |Subtensor{int64} [id YT] <TensorType(int64, scalar)> ''
  987. > | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  988. > | | | | | |Constant{4} [id YU] <int64>
  989. > | | | | |Reshape{4} [id YV] <TensorType(float32, 4D)> ''
  990. > | | | | |<TensorType(float32, 5D)> [id YW] <TensorType(float32, 5D)> -> [id FK]
  991. > | | | | |MakeVector{dtype='int64'} [id YX] <TensorType(int64, vector)> ''
  992. > | | | | |Elemwise{mul,no_inplace} [id YY] <TensorType(int64, scalar)> ''
  993. > | | | | | |Subtensor{int64} [id YZ] <TensorType(int64, scalar)> ''
  994. > | | | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  995. > | | | | | | | |GpuFromHost [id ZB] <CudaNdarrayType(float32, 5D)> ''
  996. > | | | | | | | |<TensorType(float32, 5D)> [id YW] <TensorType(float32, 5D)> -> [id FK]
  997. > | | | | | | |Constant{0} [id ZC] <int64>
  998. > | | | | | |Subtensor{int64} [id ZD] <TensorType(int64, scalar)> ''
  999. > | | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1000. > | | | | | |Constant{1} [id ZE] <int64>
  1001. > | | | | |Subtensor{int64} [id ZF] <TensorType(int64, scalar)> ''
  1002. > | | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1003. > | | | | | |Constant{2} [id ZG] <int64>
  1004. > | | | | |Subtensor{int64} [id ZH] <TensorType(int64, scalar)> ''
  1005. > | | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1006. > | | | | | |Constant{3} [id ZI] <int64>
  1007. > | | | | |Subtensor{int64} [id ZJ] <TensorType(int64, scalar)> ''
  1008. > | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1009. > | | | | |Constant{4} [id ZK] <int64>
  1010. > | | | |MakeVector{dtype='int64'} [id ZL] <TensorType(int64, vector)> ''
  1011. > | | | |Subtensor{int64} [id ZM] <TensorType(int64, scalar)> ''
  1012. > | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  1013. > | | | | |Constant{0} [id ZN] <int64>
  1014. > | | | |Subtensor{int64} [id ZO] <TensorType(int64, scalar)> ''
  1015. > | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  1016. > | | | | |Constant{1} [id ZP] <int64>
  1017. > | | | |Subtensor{int64} [id ZQ] <TensorType(int64, scalar)> ''
  1018. > | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1019. > | | | | |Constant{0} [id ZR] <int64>
  1020. > | | | |Subtensor{int64} [id ZS] <TensorType(int64, scalar)> ''
  1021. > | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1022. > | | | | |Constant{1} [id ZT] <int64>
  1023. > | | | |Elemwise{add,no_inplace} [id ZU] <TensorType(int64, scalar)> ''
  1024. > | | | | |Elemwise{sub,no_inplace} [id ZV] <TensorType(int64, scalar)> ''
  1025. > | | | | | |Subtensor{int64} [id ZW] <TensorType(int64, scalar)> ''
  1026. > | | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  1027. > | | | | | | |Constant{3} [id ZX] <int64>
  1028. > | | | | | |Subtensor{int64} [id ZY] <TensorType(int64, scalar)> ''
  1029. > | | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1030. > | | | | | |Constant{3} [id ZZ] <int64>
  1031. > | | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  1032. > | | | |Elemwise{add,no_inplace} [id BAA] <TensorType(int64, scalar)> ''
  1033. > | | | |Elemwise{sub,no_inplace} [id BAB] <TensorType(int64, scalar)> ''
  1034. > | | | | |Subtensor{int64} [id BAC] <TensorType(int64, scalar)> ''
  1035. > | | | | | |Shape [id YL] <TensorType(int64, vector)> ''
  1036. > | | | | | |Constant{4} [id BAD] <int64>
  1037. > | | | | |Subtensor{int64} [id BAE] <TensorType(int64, scalar)> ''
  1038. > | | | | |Shape [id ZA] <TensorType(int64, vector)> ''
  1039. > | | | | |Constant{4} [id BAF] <int64>
  1040. > | | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  1041. > | | |TensorConstant{1} [id GD] <TensorType(int8, scalar)>
  1042. > | | |TensorConstant{3} [id IL] <TensorType(int8, scalar)>
  1043. > | |Reshape{5} [id BAG] <TensorType(float32, (True, False, False, False, False))> ''
  1044. > | |dot [id BAH] <TensorType(float32, row)> ''
  1045. > | | |Elemwise{add,no_inplace} [id IO] <TensorType(float32, row)> ''
  1046. > | | |<TensorType(float32, matrix)> [id BAI] <TensorType(float32, matrix)> -> [id FM]
  1047. > | |TensorConstant{[ 1 4 1..8 4 4]} [id BAJ] <TensorType(int64, vector)>
  1048. > |DimShuffle{x,x,0,x,x} [id BAK] <TensorType(float32, (True, True, False, True, True))> ''
  1049. > |<TensorType(float32, vector)> [id BAL] <TensorType(float32, vector)> -> [id FO]
  1050. >sigmoid [id FS] <TensorType(float32, (True, False, False, False, False))> ''
  1051.  
  1052. for{cpu,scan_fn}.1 [id A] <TensorType(float32, (False, True, False, False, False, False))> ''
  1053. >Elemwise{add,no_inplace} [id FQ] <TensorType(float32, (True, False, False, False, False))> ''
  1054. >sigmoid [id FS] <TensorType(float32, (True, False, False, False, False))> ''
  1055.  
  1056. Storage map footprint:
  1057. - HostFromGpu.0, Shape: (1024, 8192), ElemSize: 4 Byte(s), TotalSize: 33554432 Byte(s)
  1058. - <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (1024, 8192), ElemSize: 4 Byte(s), TotalSize: 33554432 Byte(s)
  1059. - <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (1024, 8192), ElemSize: 4 Byte(s), TotalSize: 33554432 Byte(s)
  1060. - <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (1024, 8192), ElemSize: 4 Byte(s), TotalSize: 33554432 Byte(s)
  1061. - HostFromGpu.0, Shape: (1024, 8192), ElemSize: 4 Byte(s), TotalSize: 33554432 Byte(s)
  1062. - HostFromGpu.0, Shape: (1024, 8192), ElemSize: 4 Byte(s), TotalSize: 33554432 Byte(s)
  1063. - Alloc.0, Shape: (1, 32, 128, 32, 32), ElemSize: 4 Byte(s), TotalSize: 16777216 Byte(s)
  1064. - Alloc.0, Shape: (1, 34, 64, 34, 34), ElemSize: 4 Byte(s), TotalSize: 10061824 Byte(s)
  1065. - HostFromGpu.0, Shape: (2304, 1024), ElemSize: 4 Byte(s), TotalSize: 9437184 Byte(s)
  1066. - <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (2304, 1024), ElemSize: 4 Byte(s), TotalSize: 9437184 Byte(s)
  1067. - Alloc.0, Shape: (1, 34, 32, 34, 34), ElemSize: 4 Byte(s), TotalSize: 5030912 Byte(s)
  1068. - Alloc.0, Shape: (1, 34, 32, 34, 34), ElemSize: 4 Byte(s), TotalSize: 5030912 Byte(s)
  1069. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1070. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1071. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1072. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1073. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1074. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1075. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1076. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1077. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1078. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1079. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1080. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1081. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1082. - HostFromGpu.0, Shape: (256, 256, 3, 3), ElemSize: 4 Byte(s), TotalSize: 2359296 Byte(s)
  1083. - Alloc.0, Shape: (1, 16, 128, 16, 16), ElemSize: 4 Byte(s), TotalSize: 2097152 Byte(s)
  1084. - HostFromGpu.0, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1085. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1086. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1087. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1088. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1089. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1090. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1091. - HostFromGpu.0, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1092. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1093. - HostFromGpu.0, Shape: (128, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1769472 Byte(s)
  1094. - HostFromGpu.0, Shape: (256, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1179648 Byte(s)
  1095. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 1179648 Byte(s)
  1096. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (64, 3, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 884736 Byte(s)
  1097. - Subtensor{:int64:}.0, Shape: (3, 1, 4, 127, 127), ElemSize: 4 Byte(s), TotalSize: 774192 Byte(s)
  1098. - <TensorType(float32, 5D)>, Input, Shape: (3, 1, 4, 127, 127), ElemSize: 4 Byte(s), TotalSize: 774192 Byte(s)
  1099. - HostFromGpu.0, Shape: (128, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 589824 Byte(s)
  1100. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (128, 128, 3, 3), ElemSize: 4 Byte(s), TotalSize: 589824 Byte(s)
  1101. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (64, 3, 64, 3, 3), ElemSize: 4 Byte(s), TotalSize: 442368 Byte(s)
  1102. - HostFromGpu.0, Shape: (128, 96, 3, 3), ElemSize: 4 Byte(s), TotalSize: 442368 Byte(s)
  1103. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (128, 96, 3, 3), ElemSize: 4 Byte(s), TotalSize: 442368 Byte(s)
  1104. - HostFromGpu.0, Shape: (96, 96, 3, 3), ElemSize: 4 Byte(s), TotalSize: 331776 Byte(s)
  1105. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (96, 96, 3, 3), ElemSize: 4 Byte(s), TotalSize: 331776 Byte(s)
  1106. - HostFromGpu.0, Shape: (256, 256, 1, 1), ElemSize: 4 Byte(s), TotalSize: 262144 Byte(s)
  1107. - Alloc.0, Shape: (1, 8, 128, 8, 8), ElemSize: 4 Byte(s), TotalSize: 262144 Byte(s)
  1108. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 256, 1, 1), ElemSize: 4 Byte(s), TotalSize: 262144 Byte(s)
  1109. - <TensorType(float32, 5D)>, Input, Shape: (1, 32, 2, 32, 32), ElemSize: 4 Byte(s), TotalSize: 262144 Byte(s)
  1110. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (32, 3, 64, 3, 3), ElemSize: 4 Byte(s), TotalSize: 221184 Byte(s)
  1111. - HostFromGpu.0, Shape: (256, 128, 1, 1), ElemSize: 4 Byte(s), TotalSize: 131072 Byte(s)
  1112. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (256, 128, 1, 1), ElemSize: 4 Byte(s), TotalSize: 131072 Byte(s)
  1113. - IncSubtensor{Set;:int64:}.0, Shape: (4, 1, 4, 128, 4, 4), ElemSize: 4 Byte(s), TotalSize: 131072 Byte(s)
  1114. - IncSubtensor{Set;:int64:}.0, Shape: (4, 1, 4, 128, 4, 4), ElemSize: 4 Byte(s), TotalSize: 131072 Byte(s)
  1115. - for{cpu,scan_fn}.0, Shape: (4, 1, 4, 128, 4, 4), ElemSize: 4 Byte(s), TotalSize: 131072 Byte(s)
  1116. - for{cpu,scan_fn}.1, Shape: (4, 1, 4, 128, 4, 4), ElemSize: 4 Byte(s), TotalSize: 131072 Byte(s)
  1117. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (32, 3, 32, 3, 3), ElemSize: 4 Byte(s), TotalSize: 110592 Byte(s)
  1118. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (32, 3, 32, 3, 3), ElemSize: 4 Byte(s), TotalSize: 110592 Byte(s)
  1119. - TensorConstant{(1, 4, 128.. 4) of 0.0}, Shape: (1, 4, 128, 4, 4), ElemSize: 8 Byte(s), TotalSize: 65536 Byte(s)
  1120. - TensorConstant{(1, 4, 128.. 4) of 0.0}, Shape: (1, 4, 128, 4, 4), ElemSize: 8 Byte(s), TotalSize: 65536 Byte(s)
  1121. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (96, 3, 7, 7), ElemSize: 4 Byte(s), TotalSize: 56448 Byte(s)
  1122. - HostFromGpu.0, Shape: (96, 3, 7, 7), ElemSize: 4 Byte(s), TotalSize: 56448 Byte(s)
  1123. - <CudaNdarrayType(float32, 4D)>, Shared Input, Shape: (128, 96, 1, 1), ElemSize: 4 Byte(s), TotalSize: 49152 Byte(s)
  1124. - HostFromGpu.0, Shape: (128, 96, 1, 1), ElemSize: 4 Byte(s), TotalSize: 49152 Byte(s)
  1125. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (64, 1, 128, 1, 1), ElemSize: 4 Byte(s), TotalSize: 32768 Byte(s)
  1126. - <CudaNdarrayType(float32, 5D)>, Shared Input, Shape: (2, 3, 32, 3, 3), ElemSize: 4 Byte(s), TotalSize: 6912 Byte(s)
  1127. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (1024,), ElemSize: 4 Byte(s), TotalSize: 4096 Byte(s)
  1128. - HostFromGpu.0, Shape: (1024,), ElemSize: 4 Byte(s), TotalSize: 4096 Byte(s)
  1129. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1130. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1131. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1132. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1133. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1134. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1135. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1136. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1137. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1138. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1139. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1140. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1141. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1142. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1143. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1144. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1145. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1146. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1147. - HostFromGpu.0, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1148. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (256,), ElemSize: 4 Byte(s), TotalSize: 1024 Byte(s)
  1149. - HostFromGpu.0, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1150. - HostFromGpu.0, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1151. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1152. - HostFromGpu.0, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1153. - HostFromGpu.0, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1154. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1155. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1156. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1157. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1158. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1159. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1160. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1161. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1162. - HostFromGpu.0, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1163. - HostFromGpu.0, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1164. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (128,), ElemSize: 4 Byte(s), TotalSize: 512 Byte(s)
  1165. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (96,), ElemSize: 4 Byte(s), TotalSize: 384 Byte(s)
  1166. - HostFromGpu.0, Shape: (96,), ElemSize: 4 Byte(s), TotalSize: 384 Byte(s)
  1167. - HostFromGpu.0, Shape: (96,), ElemSize: 4 Byte(s), TotalSize: 384 Byte(s)
  1168. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (96,), ElemSize: 4 Byte(s), TotalSize: 384 Byte(s)
  1169. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (64,), ElemSize: 4 Byte(s), TotalSize: 256 Byte(s)
  1170. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (64,), ElemSize: 4 Byte(s), TotalSize: 256 Byte(s)
  1171. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (64,), ElemSize: 4 Byte(s), TotalSize: 256 Byte(s)
  1172. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (32,), ElemSize: 4 Byte(s), TotalSize: 128 Byte(s)
  1173. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (32,), ElemSize: 4 Byte(s), TotalSize: 128 Byte(s)
  1174. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (32,), ElemSize: 4 Byte(s), TotalSize: 128 Byte(s)
  1175. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1176. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1177. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1178. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1179. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1180. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1181. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1182. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1183. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1184. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1185. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1186. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1187. - Constant{8}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1188. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1189. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1190. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1191. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1192. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1193. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1194. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1195. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1196. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1197. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1198. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1199. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1200. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1201. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1202. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1203. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1204. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1205. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1206. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1207. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1208. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1209. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1210. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1211. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1212. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1213. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1214. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1215. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1216. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1217. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1218. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1219. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1220. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1221. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1222. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1223. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1224. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1225. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1226. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1227. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1228. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1229. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1230. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1231. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1232. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1233. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1234. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1235. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1236. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1237. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1238. - Constant{9}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1239. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1240. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1241. - Subtensor{int64}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1242. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1243. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1244. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1245. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1246. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1247. - Constant{32}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1248. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1249. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1250. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1251. - Constant{32}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1252. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1253. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1254. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1255. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1256. - Constant{-1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1257. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1258. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1259. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1260. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1261. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1262. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1263. - Constant{8}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1264. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1265. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1266. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1267. - Constant{8}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1268. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1269. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1270. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1271. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1272. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1273. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1274. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1275. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1276. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1277. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1278. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1279. - Constant{9}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1280. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1281. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1282. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1283. - Constant{9}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1284. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1285. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1286. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1287. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1288. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1289. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1290. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1291. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1292. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1293. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1294. - Constant{17}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1295. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1296. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1297. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1298. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1299. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1300. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1301. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1302. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1303. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1304. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1305. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1306. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1307. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1308. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1309. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1310. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1311. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1312. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1313. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1314. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1315. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1316. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1317. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1318. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1319. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1320. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1321. - Constant{17}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1322. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1323. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1324. - Constant{17}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1325. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1326. - Constant{16}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1327. - Constant{5}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1328. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1329. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1330. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1331. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1332. - Constant{16}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1333. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1334. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1335. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1336. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1337. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1338. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1339. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1340. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1341. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1342. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1343. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1344. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1345. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1346. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1347. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1348. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1349. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1350. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1351. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1352. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1353. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1354. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1355. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1356. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1357. - Constant{9}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1358. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1359. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1360. - Constant{9}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1361. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1362. - Constant{9}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1363. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1364. - <CudaNdarrayType(float32, vector)>, Shared Input, Shape: (2,), ElemSize: 4 Byte(s), TotalSize: 8 Byte(s)
  1365. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1366. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1367. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1368. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1369. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1370. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1371. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1372. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1373. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1374. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1375. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1376. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1377. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1378. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1379. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1380. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1381. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1382. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1383. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1384. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1385. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1386. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1387. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1388. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1389. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1390. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1391. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1392. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1393. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1394. - Constant{17}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1395. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1396. - Constant{16}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1397. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1398. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1399. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1400. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1401. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1402. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1403. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1404. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1405. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1406. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1407. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1408. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1409. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1410. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1411. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1412. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1413. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1414. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1415. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1416. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1417. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1418. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1419. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1420. - Constant{5}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1421. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1422. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1423. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1424. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1425. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1426. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1427. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1428. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1429. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1430. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1431. - Constant{17}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1432. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1433. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1434. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1435. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1436. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1437. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1438. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1439. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1440. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1441. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1442. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1443. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1444. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1445. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1446. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1447. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1448. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1449. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1450. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1451. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1452. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1453. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1454. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1455. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1456. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1457. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1458. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1459. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1460. - Constant{32}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1461. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1462. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1463. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1464. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1465. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1466. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1467. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1468. - Constant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1469. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1470. - Constant{17}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1471. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1472. - Constant{33}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1473. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1474. - Constant{4}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1475. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1476. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1477. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1478. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1479. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1480. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1481. - Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1482. - Constant{3}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1483. - Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
  1484. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1485. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1486. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1487. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1488. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1489. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1490. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1491. - TensorConstant{0.0}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1492. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1493. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1494. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1495. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1496. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1497. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1498. - TensorConstant{0.5049999952316284}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1499. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1500. - TensorConstant{0.4950000047683716}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
  1501. - DimShuffle{x,x,x,x,x}.0, Shape: (1, 1, 1, 1, 1), ElemSize: 4 Byte(s), TotalSize: 4 Byte(s)
  1502. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1503. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1504. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1505. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1506. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1507. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1508. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1509. - TensorConstant{128}, Shape: (), ElemSize: 2 Byte(s), TotalSize: 2.0 Byte(s)
  1510. - TensorConstant{18}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1511. - TensorConstant{18}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1512. - TensorConstant{16}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1513. - TensorConstant{32}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1514. - TensorConstant{32}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1515. - TensorConstant{16}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1516. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1517. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1518. - TensorConstant{18}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1519. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1520. - TensorConstant{8}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1521. - TensorConstant{10}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1522. - TensorConstant{3}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1523. - TensorConstant{16}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1524. - TensorConstant{18}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1525. - TensorConstant{32}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1526. - TensorConstant{18}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1527. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1528. - TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1529. - TensorConstant{18}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1530. - TensorConstant{64}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1531. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1532. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1533. - TensorConstant{32}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1534. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1535. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1536. - TensorConstant{32}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1537. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1538. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1539. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1540. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1541. - TensorConstant{64}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1542. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1543. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1544. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1545. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1546. - TensorConstant{32}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1547. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1548. - TensorConstant{34}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
  1549. TotalSize: 320588039.0 Byte(s) 0.299 GB
  1550. TotalSize inputs: 145044811.0 Byte(s) 0.135 GB
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