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  1. Placeholder, [<tf.Tensor 'Placeholder:0' shape=(128, 227, 227, 3) dtype=float32>]
  2. Placeholder_1, [<tf.Tensor 'Placeholder_1:0' shape=(?, 5) dtype=float32>]
  3. Placeholder_2, [<tf.Tensor 'Placeholder_2:0' shape=<unknown> dtype=float32>]
  4. conv1/weights/Initializer/random_uniform/shape, [<tf.Tensor 'conv1/weights/Initializer/random_uniform/shape:0' shape=(4,) dtype=int32>]
  5. conv1/weights/Initializer/random_uniform/min, [<tf.Tensor 'conv1/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  6. conv1/weights/Initializer/random_uniform/max, [<tf.Tensor 'conv1/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  7. conv1/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv1/weights/Initializer/random_uniform/RandomUniform:0' shape=(11, 11, 3, 96) dtype=float32>]
  8. conv1/weights/Initializer/random_uniform/sub, [<tf.Tensor 'conv1/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  9. conv1/weights/Initializer/random_uniform/mul, [<tf.Tensor 'conv1/weights/Initializer/random_uniform/mul:0' shape=(11, 11, 3, 96) dtype=float32>]
  10. conv1/weights/Initializer/random_uniform, [<tf.Tensor 'conv1/weights/Initializer/random_uniform:0' shape=(11, 11, 3, 96) dtype=float32>]
  11. conv1/weights, [<tf.Tensor 'conv1/weights:0' shape=(11, 11, 3, 96) dtype=float32_ref>]
  12. conv1/weights/Assign, [<tf.Tensor 'conv1/weights/Assign:0' shape=(11, 11, 3, 96) dtype=float32_ref>]
  13. conv1/weights/read, [<tf.Tensor 'conv1/weights/read:0' shape=(11, 11, 3, 96) dtype=float32>]
  14. conv1/biases/Initializer/random_uniform/shape, [<tf.Tensor 'conv1/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  15. conv1/biases/Initializer/random_uniform/min, [<tf.Tensor 'conv1/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  16. conv1/biases/Initializer/random_uniform/max, [<tf.Tensor 'conv1/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  17. conv1/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv1/biases/Initializer/random_uniform/RandomUniform:0' shape=(96,) dtype=float32>]
  18. conv1/biases/Initializer/random_uniform/sub, [<tf.Tensor 'conv1/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  19. conv1/biases/Initializer/random_uniform/mul, [<tf.Tensor 'conv1/biases/Initializer/random_uniform/mul:0' shape=(96,) dtype=float32>]
  20. conv1/biases/Initializer/random_uniform, [<tf.Tensor 'conv1/biases/Initializer/random_uniform:0' shape=(96,) dtype=float32>]
  21. conv1/biases, [<tf.Tensor 'conv1/biases:0' shape=(96,) dtype=float32_ref>]
  22. conv1/biases/Assign, [<tf.Tensor 'conv1/biases/Assign:0' shape=(96,) dtype=float32_ref>]
  23. conv1/biases/read, [<tf.Tensor 'conv1/biases/read:0' shape=(96,) dtype=float32>]
  24. conv1/Conv2D, [<tf.Tensor 'conv1/Conv2D:0' shape=(128, 55, 55, 96) dtype=float32>]
  25. conv1/BiasAdd, [<tf.Tensor 'conv1/BiasAdd:0' shape=(128, 55, 55, 96) dtype=float32>]
  26. conv1/Reshape/shape, [<tf.Tensor 'conv1/Reshape/shape:0' shape=(4,) dtype=int32>]
  27. conv1/Reshape, [<tf.Tensor 'conv1/Reshape:0' shape=(128, 55, 55, 96) dtype=float32>]
  28. conv1/conv1, [<tf.Tensor 'conv1/conv1:0' shape=(128, 55, 55, 96) dtype=float32>]
  29. norm1, [<tf.Tensor 'norm1:0' shape=(128, 55, 55, 96) dtype=float32>]
  30. pool1, [<tf.Tensor 'pool1:0' shape=(128, 27, 27, 96) dtype=float32>]
  31. conv2/weights/Initializer/random_uniform/shape, [<tf.Tensor 'conv2/weights/Initializer/random_uniform/shape:0' shape=(4,) dtype=int32>]
  32. conv2/weights/Initializer/random_uniform/min, [<tf.Tensor 'conv2/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  33. conv2/weights/Initializer/random_uniform/max, [<tf.Tensor 'conv2/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  34. conv2/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv2/weights/Initializer/random_uniform/RandomUniform:0' shape=(5, 5, 48, 256) dtype=float32>]
  35. conv2/weights/Initializer/random_uniform/sub, [<tf.Tensor 'conv2/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  36. conv2/weights/Initializer/random_uniform/mul, [<tf.Tensor 'conv2/weights/Initializer/random_uniform/mul:0' shape=(5, 5, 48, 256) dtype=float32>]
  37. conv2/weights/Initializer/random_uniform, [<tf.Tensor 'conv2/weights/Initializer/random_uniform:0' shape=(5, 5, 48, 256) dtype=float32>]
  38. conv2/weights, [<tf.Tensor 'conv2/weights:0' shape=(5, 5, 48, 256) dtype=float32_ref>]
  39. conv2/weights/Assign, [<tf.Tensor 'conv2/weights/Assign:0' shape=(5, 5, 48, 256) dtype=float32_ref>]
  40. conv2/weights/read, [<tf.Tensor 'conv2/weights/read:0' shape=(5, 5, 48, 256) dtype=float32>]
  41. conv2/biases/Initializer/random_uniform/shape, [<tf.Tensor 'conv2/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  42. conv2/biases/Initializer/random_uniform/min, [<tf.Tensor 'conv2/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  43. conv2/biases/Initializer/random_uniform/max, [<tf.Tensor 'conv2/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  44. conv2/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv2/biases/Initializer/random_uniform/RandomUniform:0' shape=(256,) dtype=float32>]
  45. conv2/biases/Initializer/random_uniform/sub, [<tf.Tensor 'conv2/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  46. conv2/biases/Initializer/random_uniform/mul, [<tf.Tensor 'conv2/biases/Initializer/random_uniform/mul:0' shape=(256,) dtype=float32>]
  47. conv2/biases/Initializer/random_uniform, [<tf.Tensor 'conv2/biases/Initializer/random_uniform:0' shape=(256,) dtype=float32>]
  48. conv2/biases, [<tf.Tensor 'conv2/biases:0' shape=(256,) dtype=float32_ref>]
  49. conv2/biases/Assign, [<tf.Tensor 'conv2/biases/Assign:0' shape=(256,) dtype=float32_ref>]
  50. conv2/biases/read, [<tf.Tensor 'conv2/biases/read:0' shape=(256,) dtype=float32>]
  51. conv2/Const, [<tf.Tensor 'conv2/Const:0' shape=() dtype=int32>]
  52. conv2/split/split_dim, [<tf.Tensor 'conv2/split/split_dim:0' shape=() dtype=int32>]
  53. conv2/split, [<tf.Tensor 'conv2/split:0' shape=(128, 27, 27, 48) dtype=float32>, <tf.Tensor 'conv2/split:1' shape=(128, 27, 27, 48) dtype=float32>]
  54. conv2/Const_1, [<tf.Tensor 'conv2/Const_1:0' shape=() dtype=int32>]
  55. conv2/split_1/split_dim, [<tf.Tensor 'conv2/split_1/split_dim:0' shape=() dtype=int32>]
  56. conv2/split_1, [<tf.Tensor 'conv2/split_1:0' shape=(5, 5, 48, 128) dtype=float32>, <tf.Tensor 'conv2/split_1:1' shape=(5, 5, 48, 128) dtype=float32>]
  57. conv2/Conv2D, [<tf.Tensor 'conv2/Conv2D:0' shape=(128, 27, 27, 128) dtype=float32>]
  58. conv2/Conv2D_1, [<tf.Tensor 'conv2/Conv2D_1:0' shape=(128, 27, 27, 128) dtype=float32>]
  59. conv2/concat/axis, [<tf.Tensor 'conv2/concat/axis:0' shape=() dtype=int32>]
  60. conv2/concat, [<tf.Tensor 'conv2/concat:0' shape=(128, 27, 27, 256) dtype=float32>]
  61. conv2/BiasAdd, [<tf.Tensor 'conv2/BiasAdd:0' shape=(128, 27, 27, 256) dtype=float32>]
  62. conv2/Reshape/shape, [<tf.Tensor 'conv2/Reshape/shape:0' shape=(4,) dtype=int32>]
  63. conv2/Reshape, [<tf.Tensor 'conv2/Reshape:0' shape=(128, 27, 27, 256) dtype=float32>]
  64. conv2/conv2, [<tf.Tensor 'conv2/conv2:0' shape=(128, 27, 27, 256) dtype=float32>]
  65. norm2, [<tf.Tensor 'norm2:0' shape=(128, 27, 27, 256) dtype=float32>]
  66. pool2, [<tf.Tensor 'pool2:0' shape=(128, 13, 13, 256) dtype=float32>]
  67. conv3/weights/Initializer/random_uniform/shape, [<tf.Tensor 'conv3/weights/Initializer/random_uniform/shape:0' shape=(4,) dtype=int32>]
  68. conv3/weights/Initializer/random_uniform/min, [<tf.Tensor 'conv3/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  69. conv3/weights/Initializer/random_uniform/max, [<tf.Tensor 'conv3/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  70. conv3/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv3/weights/Initializer/random_uniform/RandomUniform:0' shape=(3, 3, 256, 384) dtype=float32>]
  71. conv3/weights/Initializer/random_uniform/sub, [<tf.Tensor 'conv3/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  72. conv3/weights/Initializer/random_uniform/mul, [<tf.Tensor 'conv3/weights/Initializer/random_uniform/mul:0' shape=(3, 3, 256, 384) dtype=float32>]
  73. conv3/weights/Initializer/random_uniform, [<tf.Tensor 'conv3/weights/Initializer/random_uniform:0' shape=(3, 3, 256, 384) dtype=float32>]
  74. conv3/weights, [<tf.Tensor 'conv3/weights:0' shape=(3, 3, 256, 384) dtype=float32_ref>]
  75. conv3/weights/Assign, [<tf.Tensor 'conv3/weights/Assign:0' shape=(3, 3, 256, 384) dtype=float32_ref>]
  76. conv3/weights/read, [<tf.Tensor 'conv3/weights/read:0' shape=(3, 3, 256, 384) dtype=float32>]
  77. conv3/biases/Initializer/random_uniform/shape, [<tf.Tensor 'conv3/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  78. conv3/biases/Initializer/random_uniform/min, [<tf.Tensor 'conv3/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  79. conv3/biases/Initializer/random_uniform/max, [<tf.Tensor 'conv3/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  80. conv3/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv3/biases/Initializer/random_uniform/RandomUniform:0' shape=(384,) dtype=float32>]
  81. conv3/biases/Initializer/random_uniform/sub, [<tf.Tensor 'conv3/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  82. conv3/biases/Initializer/random_uniform/mul, [<tf.Tensor 'conv3/biases/Initializer/random_uniform/mul:0' shape=(384,) dtype=float32>]
  83. conv3/biases/Initializer/random_uniform, [<tf.Tensor 'conv3/biases/Initializer/random_uniform:0' shape=(384,) dtype=float32>]
  84. conv3/biases, [<tf.Tensor 'conv3/biases:0' shape=(384,) dtype=float32_ref>]
  85. conv3/biases/Assign, [<tf.Tensor 'conv3/biases/Assign:0' shape=(384,) dtype=float32_ref>]
  86. conv3/biases/read, [<tf.Tensor 'conv3/biases/read:0' shape=(384,) dtype=float32>]
  87. conv3/Conv2D, [<tf.Tensor 'conv3/Conv2D:0' shape=(128, 13, 13, 384) dtype=float32>]
  88. conv3/BiasAdd, [<tf.Tensor 'conv3/BiasAdd:0' shape=(128, 13, 13, 384) dtype=float32>]
  89. conv3/Reshape/shape, [<tf.Tensor 'conv3/Reshape/shape:0' shape=(4,) dtype=int32>]
  90. conv3/Reshape, [<tf.Tensor 'conv3/Reshape:0' shape=(128, 13, 13, 384) dtype=float32>]
  91. conv3/conv3, [<tf.Tensor 'conv3/conv3:0' shape=(128, 13, 13, 384) dtype=float32>]
  92. conv4/weights/Initializer/random_uniform/shape, [<tf.Tensor 'conv4/weights/Initializer/random_uniform/shape:0' shape=(4,) dtype=int32>]
  93. conv4/weights/Initializer/random_uniform/min, [<tf.Tensor 'conv4/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  94. conv4/weights/Initializer/random_uniform/max, [<tf.Tensor 'conv4/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  95. conv4/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv4/weights/Initializer/random_uniform/RandomUniform:0' shape=(3, 3, 192, 384) dtype=float32>]
  96. conv4/weights/Initializer/random_uniform/sub, [<tf.Tensor 'conv4/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  97. conv4/weights/Initializer/random_uniform/mul, [<tf.Tensor 'conv4/weights/Initializer/random_uniform/mul:0' shape=(3, 3, 192, 384) dtype=float32>]
  98. conv4/weights/Initializer/random_uniform, [<tf.Tensor 'conv4/weights/Initializer/random_uniform:0' shape=(3, 3, 192, 384) dtype=float32>]
  99. conv4/weights, [<tf.Tensor 'conv4/weights:0' shape=(3, 3, 192, 384) dtype=float32_ref>]
  100. conv4/weights/Assign, [<tf.Tensor 'conv4/weights/Assign:0' shape=(3, 3, 192, 384) dtype=float32_ref>]
  101. conv4/weights/read, [<tf.Tensor 'conv4/weights/read:0' shape=(3, 3, 192, 384) dtype=float32>]
  102. conv4/biases/Initializer/random_uniform/shape, [<tf.Tensor 'conv4/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  103. conv4/biases/Initializer/random_uniform/min, [<tf.Tensor 'conv4/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  104. conv4/biases/Initializer/random_uniform/max, [<tf.Tensor 'conv4/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  105. conv4/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv4/biases/Initializer/random_uniform/RandomUniform:0' shape=(384,) dtype=float32>]
  106. conv4/biases/Initializer/random_uniform/sub, [<tf.Tensor 'conv4/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  107. conv4/biases/Initializer/random_uniform/mul, [<tf.Tensor 'conv4/biases/Initializer/random_uniform/mul:0' shape=(384,) dtype=float32>]
  108. conv4/biases/Initializer/random_uniform, [<tf.Tensor 'conv4/biases/Initializer/random_uniform:0' shape=(384,) dtype=float32>]
  109. conv4/biases, [<tf.Tensor 'conv4/biases:0' shape=(384,) dtype=float32_ref>]
  110. conv4/biases/Assign, [<tf.Tensor 'conv4/biases/Assign:0' shape=(384,) dtype=float32_ref>]
  111. conv4/biases/read, [<tf.Tensor 'conv4/biases/read:0' shape=(384,) dtype=float32>]
  112. conv4/Const, [<tf.Tensor 'conv4/Const:0' shape=() dtype=int32>]
  113. conv4/split/split_dim, [<tf.Tensor 'conv4/split/split_dim:0' shape=() dtype=int32>]
  114. conv4/split, [<tf.Tensor 'conv4/split:0' shape=(128, 13, 13, 192) dtype=float32>, <tf.Tensor 'conv4/split:1' shape=(128, 13, 13, 192) dtype=float32>]
  115. conv4/Const_1, [<tf.Tensor 'conv4/Const_1:0' shape=() dtype=int32>]
  116. conv4/split_1/split_dim, [<tf.Tensor 'conv4/split_1/split_dim:0' shape=() dtype=int32>]
  117. conv4/split_1, [<tf.Tensor 'conv4/split_1:0' shape=(3, 3, 192, 192) dtype=float32>, <tf.Tensor 'conv4/split_1:1' shape=(3, 3, 192, 192) dtype=float32>]
  118. conv4/Conv2D, [<tf.Tensor 'conv4/Conv2D:0' shape=(128, 13, 13, 192) dtype=float32>]
  119. conv4/Conv2D_1, [<tf.Tensor 'conv4/Conv2D_1:0' shape=(128, 13, 13, 192) dtype=float32>]
  120. conv4/concat/axis, [<tf.Tensor 'conv4/concat/axis:0' shape=() dtype=int32>]
  121. conv4/concat, [<tf.Tensor 'conv4/concat:0' shape=(128, 13, 13, 384) dtype=float32>]
  122. conv4/BiasAdd, [<tf.Tensor 'conv4/BiasAdd:0' shape=(128, 13, 13, 384) dtype=float32>]
  123. conv4/Reshape/shape, [<tf.Tensor 'conv4/Reshape/shape:0' shape=(4,) dtype=int32>]
  124. conv4/Reshape, [<tf.Tensor 'conv4/Reshape:0' shape=(128, 13, 13, 384) dtype=float32>]
  125. conv4/conv4, [<tf.Tensor 'conv4/conv4:0' shape=(128, 13, 13, 384) dtype=float32>]
  126. conv5/weights/Initializer/random_uniform/shape, [<tf.Tensor 'conv5/weights/Initializer/random_uniform/shape:0' shape=(4,) dtype=int32>]
  127. conv5/weights/Initializer/random_uniform/min, [<tf.Tensor 'conv5/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  128. conv5/weights/Initializer/random_uniform/max, [<tf.Tensor 'conv5/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  129. conv5/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv5/weights/Initializer/random_uniform/RandomUniform:0' shape=(3, 3, 192, 256) dtype=float32>]
  130. conv5/weights/Initializer/random_uniform/sub, [<tf.Tensor 'conv5/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  131. conv5/weights/Initializer/random_uniform/mul, [<tf.Tensor 'conv5/weights/Initializer/random_uniform/mul:0' shape=(3, 3, 192, 256) dtype=float32>]
  132. conv5/weights/Initializer/random_uniform, [<tf.Tensor 'conv5/weights/Initializer/random_uniform:0' shape=(3, 3, 192, 256) dtype=float32>]
  133. conv5/weights, [<tf.Tensor 'conv5/weights:0' shape=(3, 3, 192, 256) dtype=float32_ref>]
  134. conv5/weights/Assign, [<tf.Tensor 'conv5/weights/Assign:0' shape=(3, 3, 192, 256) dtype=float32_ref>]
  135. conv5/weights/read, [<tf.Tensor 'conv5/weights/read:0' shape=(3, 3, 192, 256) dtype=float32>]
  136. conv5/biases/Initializer/random_uniform/shape, [<tf.Tensor 'conv5/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  137. conv5/biases/Initializer/random_uniform/min, [<tf.Tensor 'conv5/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  138. conv5/biases/Initializer/random_uniform/max, [<tf.Tensor 'conv5/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  139. conv5/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'conv5/biases/Initializer/random_uniform/RandomUniform:0' shape=(256,) dtype=float32>]
  140. conv5/biases/Initializer/random_uniform/sub, [<tf.Tensor 'conv5/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  141. conv5/biases/Initializer/random_uniform/mul, [<tf.Tensor 'conv5/biases/Initializer/random_uniform/mul:0' shape=(256,) dtype=float32>]
  142. conv5/biases/Initializer/random_uniform, [<tf.Tensor 'conv5/biases/Initializer/random_uniform:0' shape=(256,) dtype=float32>]
  143. conv5/biases, [<tf.Tensor 'conv5/biases:0' shape=(256,) dtype=float32_ref>]
  144. conv5/biases/Assign, [<tf.Tensor 'conv5/biases/Assign:0' shape=(256,) dtype=float32_ref>]
  145. conv5/biases/read, [<tf.Tensor 'conv5/biases/read:0' shape=(256,) dtype=float32>]
  146. conv5/Const, [<tf.Tensor 'conv5/Const:0' shape=() dtype=int32>]
  147. conv5/split/split_dim, [<tf.Tensor 'conv5/split/split_dim:0' shape=() dtype=int32>]
  148. conv5/split, [<tf.Tensor 'conv5/split:0' shape=(128, 13, 13, 192) dtype=float32>, <tf.Tensor 'conv5/split:1' shape=(128, 13, 13, 192) dtype=float32>]
  149. conv5/Const_1, [<tf.Tensor 'conv5/Const_1:0' shape=() dtype=int32>]
  150. conv5/split_1/split_dim, [<tf.Tensor 'conv5/split_1/split_dim:0' shape=() dtype=int32>]
  151. conv5/split_1, [<tf.Tensor 'conv5/split_1:0' shape=(3, 3, 192, 128) dtype=float32>, <tf.Tensor 'conv5/split_1:1' shape=(3, 3, 192, 128) dtype=float32>]
  152. conv5/Conv2D, [<tf.Tensor 'conv5/Conv2D:0' shape=(128, 13, 13, 128) dtype=float32>]
  153. conv5/Conv2D_1, [<tf.Tensor 'conv5/Conv2D_1:0' shape=(128, 13, 13, 128) dtype=float32>]
  154. conv5/concat/axis, [<tf.Tensor 'conv5/concat/axis:0' shape=() dtype=int32>]
  155. conv5/concat, [<tf.Tensor 'conv5/concat:0' shape=(128, 13, 13, 256) dtype=float32>]
  156. conv5/BiasAdd, [<tf.Tensor 'conv5/BiasAdd:0' shape=(128, 13, 13, 256) dtype=float32>]
  157. conv5/Reshape/shape, [<tf.Tensor 'conv5/Reshape/shape:0' shape=(4,) dtype=int32>]
  158. conv5/Reshape, [<tf.Tensor 'conv5/Reshape:0' shape=(128, 13, 13, 256) dtype=float32>]
  159. conv5/conv5, [<tf.Tensor 'conv5/conv5:0' shape=(128, 13, 13, 256) dtype=float32>]
  160. pool5, [<tf.Tensor 'pool5:0' shape=(128, 6, 6, 256) dtype=float32>]
  161. Reshape/shape, [<tf.Tensor 'Reshape/shape:0' shape=(2,) dtype=int32>]
  162. Reshape, [<tf.Tensor 'Reshape:0' shape=(128, 9216) dtype=float32>]
  163. fc6/weights/Initializer/random_uniform/shape, [<tf.Tensor 'fc6/weights/Initializer/random_uniform/shape:0' shape=(2,) dtype=int32>]
  164. fc6/weights/Initializer/random_uniform/min, [<tf.Tensor 'fc6/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  165. fc6/weights/Initializer/random_uniform/max, [<tf.Tensor 'fc6/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  166. fc6/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'fc6/weights/Initializer/random_uniform/RandomUniform:0' shape=(9216, 4096) dtype=float32>]
  167. fc6/weights/Initializer/random_uniform/sub, [<tf.Tensor 'fc6/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  168. fc6/weights/Initializer/random_uniform/mul, [<tf.Tensor 'fc6/weights/Initializer/random_uniform/mul:0' shape=(9216, 4096) dtype=float32>]
  169. fc6/weights/Initializer/random_uniform, [<tf.Tensor 'fc6/weights/Initializer/random_uniform:0' shape=(9216, 4096) dtype=float32>]
  170. fc6/weights, [<tf.Tensor 'fc6/weights:0' shape=(9216, 4096) dtype=float32_ref>]
  171. fc6/weights/Assign, [<tf.Tensor 'fc6/weights/Assign:0' shape=(9216, 4096) dtype=float32_ref>]
  172. fc6/weights/read, [<tf.Tensor 'fc6/weights/read:0' shape=(9216, 4096) dtype=float32>]
  173. fc6/biases/Initializer/random_uniform/shape, [<tf.Tensor 'fc6/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  174. fc6/biases/Initializer/random_uniform/min, [<tf.Tensor 'fc6/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  175. fc6/biases/Initializer/random_uniform/max, [<tf.Tensor 'fc6/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  176. fc6/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'fc6/biases/Initializer/random_uniform/RandomUniform:0' shape=(4096,) dtype=float32>]
  177. fc6/biases/Initializer/random_uniform/sub, [<tf.Tensor 'fc6/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  178. fc6/biases/Initializer/random_uniform/mul, [<tf.Tensor 'fc6/biases/Initializer/random_uniform/mul:0' shape=(4096,) dtype=float32>]
  179. fc6/biases/Initializer/random_uniform, [<tf.Tensor 'fc6/biases/Initializer/random_uniform:0' shape=(4096,) dtype=float32>]
  180. fc6/biases, [<tf.Tensor 'fc6/biases:0' shape=(4096,) dtype=float32_ref>]
  181. fc6/biases/Assign, [<tf.Tensor 'fc6/biases/Assign:0' shape=(4096,) dtype=float32_ref>]
  182. fc6/biases/read, [<tf.Tensor 'fc6/biases/read:0' shape=(4096,) dtype=float32>]
  183. fc6/fc6/MatMul, [<tf.Tensor 'fc6/fc6/MatMul:0' shape=(128, 4096) dtype=float32>]
  184. fc6/fc6, [<tf.Tensor 'fc6/fc6:0' shape=(128, 4096) dtype=float32>]
  185. fc6/Relu, [<tf.Tensor 'fc6/Relu:0' shape=(128, 4096) dtype=float32>]
  186. sub/x, [<tf.Tensor 'sub/x:0' shape=() dtype=float32>]
  187. sub, [<tf.Tensor 'sub:0' shape=<unknown> dtype=float32>]
  188. dropout/Shape, [<tf.Tensor 'dropout/Shape:0' shape=(2,) dtype=int32>]
  189. dropout/random_uniform/min, [<tf.Tensor 'dropout/random_uniform/min:0' shape=() dtype=float32>]
  190. dropout/random_uniform/max, [<tf.Tensor 'dropout/random_uniform/max:0' shape=() dtype=float32>]
  191. dropout/random_uniform/RandomUniform, [<tf.Tensor 'dropout/random_uniform/RandomUniform:0' shape=(128, 4096) dtype=float32>]
  192. dropout/random_uniform/sub, [<tf.Tensor 'dropout/random_uniform/sub:0' shape=() dtype=float32>]
  193. dropout/random_uniform/mul, [<tf.Tensor 'dropout/random_uniform/mul:0' shape=(128, 4096) dtype=float32>]
  194. dropout/random_uniform, [<tf.Tensor 'dropout/random_uniform:0' shape=(128, 4096) dtype=float32>]
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  196. dropout/sub, [<tf.Tensor 'dropout/sub:0' shape=<unknown> dtype=float32>]
  197. dropout/truediv/x, [<tf.Tensor 'dropout/truediv/x:0' shape=() dtype=float32>]
  198. dropout/truediv, [<tf.Tensor 'dropout/truediv:0' shape=<unknown> dtype=float32>]
  199. dropout/GreaterEqual, [<tf.Tensor 'dropout/GreaterEqual:0' shape=<unknown> dtype=bool>]
  200. dropout/mul, [<tf.Tensor 'dropout/mul:0' shape=<unknown> dtype=float32>]
  201. dropout/Cast, [<tf.Tensor 'dropout/Cast:0' shape=<unknown> dtype=float32>]
  202. dropout/mul_1, [<tf.Tensor 'dropout/mul_1:0' shape=(128, 4096) dtype=float32>]
  203. fc7/weights/Initializer/random_uniform/shape, [<tf.Tensor 'fc7/weights/Initializer/random_uniform/shape:0' shape=(2,) dtype=int32>]
  204. fc7/weights/Initializer/random_uniform/min, [<tf.Tensor 'fc7/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  205. fc7/weights/Initializer/random_uniform/max, [<tf.Tensor 'fc7/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  206. fc7/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'fc7/weights/Initializer/random_uniform/RandomUniform:0' shape=(4096, 4096) dtype=float32>]
  207. fc7/weights/Initializer/random_uniform/sub, [<tf.Tensor 'fc7/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  208. fc7/weights/Initializer/random_uniform/mul, [<tf.Tensor 'fc7/weights/Initializer/random_uniform/mul:0' shape=(4096, 4096) dtype=float32>]
  209. fc7/weights/Initializer/random_uniform, [<tf.Tensor 'fc7/weights/Initializer/random_uniform:0' shape=(4096, 4096) dtype=float32>]
  210. fc7/weights, [<tf.Tensor 'fc7/weights:0' shape=(4096, 4096) dtype=float32_ref>]
  211. fc7/weights/Assign, [<tf.Tensor 'fc7/weights/Assign:0' shape=(4096, 4096) dtype=float32_ref>]
  212. fc7/weights/read, [<tf.Tensor 'fc7/weights/read:0' shape=(4096, 4096) dtype=float32>]
  213. fc7/biases/Initializer/random_uniform/shape, [<tf.Tensor 'fc7/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  214. fc7/biases/Initializer/random_uniform/min, [<tf.Tensor 'fc7/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  215. fc7/biases/Initializer/random_uniform/max, [<tf.Tensor 'fc7/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  216. fc7/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'fc7/biases/Initializer/random_uniform/RandomUniform:0' shape=(4096,) dtype=float32>]
  217. fc7/biases/Initializer/random_uniform/sub, [<tf.Tensor 'fc7/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  218. fc7/biases/Initializer/random_uniform/mul, [<tf.Tensor 'fc7/biases/Initializer/random_uniform/mul:0' shape=(4096,) dtype=float32>]
  219. fc7/biases/Initializer/random_uniform, [<tf.Tensor 'fc7/biases/Initializer/random_uniform:0' shape=(4096,) dtype=float32>]
  220. fc7/biases, [<tf.Tensor 'fc7/biases:0' shape=(4096,) dtype=float32_ref>]
  221. fc7/biases/Assign, [<tf.Tensor 'fc7/biases/Assign:0' shape=(4096,) dtype=float32_ref>]
  222. fc7/biases/read, [<tf.Tensor 'fc7/biases/read:0' shape=(4096,) dtype=float32>]
  223. fc7/fc7/MatMul, [<tf.Tensor 'fc7/fc7/MatMul:0' shape=(128, 4096) dtype=float32>]
  224. fc7/fc7, [<tf.Tensor 'fc7/fc7:0' shape=(128, 4096) dtype=float32>]
  225. fc7/Relu, [<tf.Tensor 'fc7/Relu:0' shape=(128, 4096) dtype=float32>]
  226. sub_1/x, [<tf.Tensor 'sub_1/x:0' shape=() dtype=float32>]
  227. sub_1, [<tf.Tensor 'sub_1:0' shape=<unknown> dtype=float32>]
  228. dropout_1/Shape, [<tf.Tensor 'dropout_1/Shape:0' shape=(2,) dtype=int32>]
  229. dropout_1/random_uniform/min, [<tf.Tensor 'dropout_1/random_uniform/min:0' shape=() dtype=float32>]
  230. dropout_1/random_uniform/max, [<tf.Tensor 'dropout_1/random_uniform/max:0' shape=() dtype=float32>]
  231. dropout_1/random_uniform/RandomUniform, [<tf.Tensor 'dropout_1/random_uniform/RandomUniform:0' shape=(128, 4096) dtype=float32>]
  232. dropout_1/random_uniform/sub, [<tf.Tensor 'dropout_1/random_uniform/sub:0' shape=() dtype=float32>]
  233. dropout_1/random_uniform/mul, [<tf.Tensor 'dropout_1/random_uniform/mul:0' shape=(128, 4096) dtype=float32>]
  234. dropout_1/random_uniform, [<tf.Tensor 'dropout_1/random_uniform:0' shape=(128, 4096) dtype=float32>]
  235. dropout_1/sub/x, [<tf.Tensor 'dropout_1/sub/x:0' shape=() dtype=float32>]
  236. dropout_1/sub, [<tf.Tensor 'dropout_1/sub:0' shape=<unknown> dtype=float32>]
  237. dropout_1/truediv/x, [<tf.Tensor 'dropout_1/truediv/x:0' shape=() dtype=float32>]
  238. dropout_1/truediv, [<tf.Tensor 'dropout_1/truediv:0' shape=<unknown> dtype=float32>]
  239. dropout_1/GreaterEqual, [<tf.Tensor 'dropout_1/GreaterEqual:0' shape=<unknown> dtype=bool>]
  240. dropout_1/mul, [<tf.Tensor 'dropout_1/mul:0' shape=<unknown> dtype=float32>]
  241. dropout_1/Cast, [<tf.Tensor 'dropout_1/Cast:0' shape=<unknown> dtype=float32>]
  242. dropout_1/mul_1, [<tf.Tensor 'dropout_1/mul_1:0' shape=(128, 4096) dtype=float32>]
  243. fc8/weights/Initializer/random_uniform/shape, [<tf.Tensor 'fc8/weights/Initializer/random_uniform/shape:0' shape=(2,) dtype=int32>]
  244. fc8/weights/Initializer/random_uniform/min, [<tf.Tensor 'fc8/weights/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  245. fc8/weights/Initializer/random_uniform/max, [<tf.Tensor 'fc8/weights/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  246. fc8/weights/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'fc8/weights/Initializer/random_uniform/RandomUniform:0' shape=(4096, 5) dtype=float32>]
  247. fc8/weights/Initializer/random_uniform/sub, [<tf.Tensor 'fc8/weights/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  248. fc8/weights/Initializer/random_uniform/mul, [<tf.Tensor 'fc8/weights/Initializer/random_uniform/mul:0' shape=(4096, 5) dtype=float32>]
  249. fc8/weights/Initializer/random_uniform, [<tf.Tensor 'fc8/weights/Initializer/random_uniform:0' shape=(4096, 5) dtype=float32>]
  250. fc8/weights, [<tf.Tensor 'fc8/weights:0' shape=(4096, 5) dtype=float32_ref>]
  251. fc8/weights/Assign, [<tf.Tensor 'fc8/weights/Assign:0' shape=(4096, 5) dtype=float32_ref>]
  252. fc8/weights/read, [<tf.Tensor 'fc8/weights/read:0' shape=(4096, 5) dtype=float32>]
  253. fc8/biases/Initializer/random_uniform/shape, [<tf.Tensor 'fc8/biases/Initializer/random_uniform/shape:0' shape=(1,) dtype=int32>]
  254. fc8/biases/Initializer/random_uniform/min, [<tf.Tensor 'fc8/biases/Initializer/random_uniform/min:0' shape=() dtype=float32>]
  255. fc8/biases/Initializer/random_uniform/max, [<tf.Tensor 'fc8/biases/Initializer/random_uniform/max:0' shape=() dtype=float32>]
  256. fc8/biases/Initializer/random_uniform/RandomUniform, [<tf.Tensor 'fc8/biases/Initializer/random_uniform/RandomUniform:0' shape=(5,) dtype=float32>]
  257. fc8/biases/Initializer/random_uniform/sub, [<tf.Tensor 'fc8/biases/Initializer/random_uniform/sub:0' shape=() dtype=float32>]
  258. fc8/biases/Initializer/random_uniform/mul, [<tf.Tensor 'fc8/biases/Initializer/random_uniform/mul:0' shape=(5,) dtype=float32>]
  259. fc8/biases/Initializer/random_uniform, [<tf.Tensor 'fc8/biases/Initializer/random_uniform:0' shape=(5,) dtype=float32>]
  260. fc8/biases, [<tf.Tensor 'fc8/biases:0' shape=(5,) dtype=float32_ref>]
  261. fc8/biases/Assign, [<tf.Tensor 'fc8/biases/Assign:0' shape=(5,) dtype=float32_ref>]
  262. fc8/biases/read, [<tf.Tensor 'fc8/biases/read:0' shape=(5,) dtype=float32>]
  263. fc8/fc8/MatMul, [<tf.Tensor 'fc8/fc8/MatMul:0' shape=(128, 5) dtype=float32>]
  264. fc8/fc8, [<tf.Tensor 'fc8/fc8:0' shape=(128, 5) dtype=float32>]
  265. cross_ent/softmax_cross_entropy_with_logits_sg/labels_stop_gradient, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/labels_stop_gradient:0' shape=(?, 5) dtype=float32>]
  266. cross_ent/softmax_cross_entropy_with_logits_sg/Rank, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Rank:0' shape=() dtype=int32>]
  267. cross_ent/softmax_cross_entropy_with_logits_sg/Shape, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Shape:0' shape=(2,) dtype=int32>]
  268. cross_ent/softmax_cross_entropy_with_logits_sg/Rank_1, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Rank_1:0' shape=() dtype=int32>]
  269. cross_ent/softmax_cross_entropy_with_logits_sg/Shape_1, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Shape_1:0' shape=(2,) dtype=int32>]
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  271. cross_ent/softmax_cross_entropy_with_logits_sg/Sub, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Sub:0' shape=() dtype=int32>]
  272. cross_ent/softmax_cross_entropy_with_logits_sg/Slice/begin, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Slice/begin:0' shape=(1,) dtype=int32>]
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  274. cross_ent/softmax_cross_entropy_with_logits_sg/Slice, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Slice:0' shape=(1,) dtype=int32>]
  275. cross_ent/softmax_cross_entropy_with_logits_sg/concat/values_0, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/concat/values_0:0' shape=(1,) dtype=int32>]
  276. cross_ent/softmax_cross_entropy_with_logits_sg/concat/axis, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/concat/axis:0' shape=() dtype=int32>]
  277. cross_ent/softmax_cross_entropy_with_logits_sg/concat, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/concat:0' shape=(2,) dtype=int32>]
  278. cross_ent/softmax_cross_entropy_with_logits_sg/Reshape, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Reshape:0' shape=(128, 5) dtype=float32>]
  279. cross_ent/softmax_cross_entropy_with_logits_sg/Rank_2, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Rank_2:0' shape=() dtype=int32>]
  280. cross_ent/softmax_cross_entropy_with_logits_sg/Shape_2, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Shape_2:0' shape=(2,) dtype=int32>]
  281. cross_ent/softmax_cross_entropy_with_logits_sg/Sub_1/y, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Sub_1/y:0' shape=() dtype=int32>]
  282. cross_ent/softmax_cross_entropy_with_logits_sg/Sub_1, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Sub_1:0' shape=() dtype=int32>]
  283. cross_ent/softmax_cross_entropy_with_logits_sg/Slice_1/begin, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Slice_1/begin:0' shape=(1,) dtype=int32>]
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  285. cross_ent/softmax_cross_entropy_with_logits_sg/Slice_1, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Slice_1:0' shape=(1,) dtype=int32>]
  286. cross_ent/softmax_cross_entropy_with_logits_sg/concat_1/values_0, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/concat_1/values_0:0' shape=(1,) dtype=int32>]
  287. cross_ent/softmax_cross_entropy_with_logits_sg/concat_1/axis, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/concat_1/axis:0' shape=() dtype=int32>]
  288. cross_ent/softmax_cross_entropy_with_logits_sg/concat_1, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/concat_1:0' shape=(2,) dtype=int32>]
  289. cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_1, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_1:0' shape=(?, ?) dtype=float32>]
  290. cross_ent/softmax_cross_entropy_with_logits_sg, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg:0' shape=(128,) dtype=float32>, <tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg:1' shape=(128, 5) dtype=float32>]
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  292. cross_ent/softmax_cross_entropy_with_logits_sg/Sub_2, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Sub_2:0' shape=() dtype=int32>]
  293. cross_ent/softmax_cross_entropy_with_logits_sg/Slice_2/begin, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Slice_2/begin:0' shape=(1,) dtype=int32>]
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  295. cross_ent/softmax_cross_entropy_with_logits_sg/Slice_2, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Slice_2:0' shape=(1,) dtype=int32>]
  296. cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_2, [<tf.Tensor 'cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_2:0' shape=(128,) dtype=float32>]
  297. cross_ent/Const, [<tf.Tensor 'cross_ent/Const:0' shape=(1,) dtype=int32>]
  298. cross_ent/Mean, [<tf.Tensor 'cross_ent/Mean:0' shape=() dtype=float32>]
  299. train/gradients/Shape, [<tf.Tensor 'train/gradients/Shape:0' shape=(0,) dtype=int32>]
  300. train/gradients/grad_ys_0, [<tf.Tensor 'train/gradients/grad_ys_0:0' shape=() dtype=float32>]
  301. train/gradients/Fill, [<tf.Tensor 'train/gradients/Fill:0' shape=() dtype=float32>]
  302. train/gradients/cross_ent/Mean_grad/Reshape/shape, [<tf.Tensor 'train/gradients/cross_ent/Mean_grad/Reshape/shape:0' shape=(1,) dtype=int32>]
  303. train/gradients/cross_ent/Mean_grad/Reshape, [<tf.Tensor 'train/gradients/cross_ent/Mean_grad/Reshape:0' shape=(1,) dtype=float32>]
  304. train/gradients/cross_ent/Mean_grad/Const, [<tf.Tensor 'train/gradients/cross_ent/Mean_grad/Const:0' shape=(1,) dtype=int32>]
  305. train/gradients/cross_ent/Mean_grad/Tile, [<tf.Tensor 'train/gradients/cross_ent/Mean_grad/Tile:0' shape=(128,) dtype=float32>]
  306. train/gradients/cross_ent/Mean_grad/Const_1, [<tf.Tensor 'train/gradients/cross_ent/Mean_grad/Const_1:0' shape=() dtype=float32>]
  307. train/gradients/cross_ent/Mean_grad/truediv, [<tf.Tensor 'train/gradients/cross_ent/Mean_grad/truediv:0' shape=(128,) dtype=float32>]
  308. train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_2_grad/Shape, [<tf.Tensor 'train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_2_grad/Shape:0' shape=(1,) dtype=int32>]
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  311. train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg_grad/ExpandDims/dim, [<tf.Tensor 'train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg_grad/ExpandDims/dim:0' shape=() dtype=int32>]
  312. train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg_grad/ExpandDims, [<tf.Tensor 'train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg_grad/ExpandDims:0' shape=(128, 1) dtype=float32>]
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  316. train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg_grad/ExpandDims_1/dim, [<tf.Tensor 'train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg_grad/ExpandDims_1/dim:0' shape=() dtype=int32>]
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  319. train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_grad/Shape, [<tf.Tensor 'train/gradients/cross_ent/softmax_cross_entropy_with_logits_sg/Reshape_grad/Shape:0' shape=(2,) dtype=int32>]
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  321. train/gradients/fc8/fc8_grad/BiasAddGrad, [<tf.Tensor 'train/gradients/fc8/fc8_grad/BiasAddGrad:0' shape=(5,) dtype=float32>]
  322. train/gradients/fc8/fc8/MatMul_grad/MatMul, [<tf.Tensor 'train/gradients/fc8/fc8/MatMul_grad/MatMul:0' shape=(128, 4096) dtype=float32>]
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  324. train/gradients/dropout_1/mul_1_grad/Shape, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Shape:0' shape=(?,) dtype=int32>]
  325. train/gradients/dropout_1/mul_1_grad/Shape_1, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Shape_1:0' shape=(?,) dtype=int32>]
  326. train/gradients/dropout_1/mul_1_grad/BroadcastGradientArgs, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/BroadcastGradientArgs:0' shape=(?,) dtype=int32>, <tf.Tensor 'train/gradients/dropout_1/mul_1_grad/BroadcastGradientArgs:1' shape=(?,) dtype=int32>]
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  328. train/gradients/dropout_1/mul_1_grad/Sum, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Sum:0' shape=<unknown> dtype=float32>]
  329. train/gradients/dropout_1/mul_1_grad/Reshape, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Reshape:0' shape=<unknown> dtype=float32>]
  330. train/gradients/dropout_1/mul_1_grad/Mul_1, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Mul_1:0' shape=<unknown> dtype=float32>]
  331. train/gradients/dropout_1/mul_1_grad/Sum_1, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Sum_1:0' shape=<unknown> dtype=float32>]
  332. train/gradients/dropout_1/mul_1_grad/Reshape_1, [<tf.Tensor 'train/gradients/dropout_1/mul_1_grad/Reshape_1:0' shape=<unknown> dtype=float32>]
  333. train/gradients/dropout_1/mul_grad/Shape, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Shape:0' shape=(2,) dtype=int32>]
  334. train/gradients/dropout_1/mul_grad/Shape_1, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Shape_1:0' shape=(?,) dtype=int32>]
  335. train/gradients/dropout_1/mul_grad/BroadcastGradientArgs, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/BroadcastGradientArgs:0' shape=(?,) dtype=int32>, <tf.Tensor 'train/gradients/dropout_1/mul_grad/BroadcastGradientArgs:1' shape=(?,) dtype=int32>]
  336. train/gradients/dropout_1/mul_grad/Mul, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Mul:0' shape=<unknown> dtype=float32>]
  337. train/gradients/dropout_1/mul_grad/Sum, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Sum:0' shape=<unknown> dtype=float32>]
  338. train/gradients/dropout_1/mul_grad/Reshape, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Reshape:0' shape=(128, 4096) dtype=float32>]
  339. train/gradients/dropout_1/mul_grad/Mul_1, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Mul_1:0' shape=<unknown> dtype=float32>]
  340. train/gradients/dropout_1/mul_grad/Sum_1, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Sum_1:0' shape=<unknown> dtype=float32>]
  341. train/gradients/dropout_1/mul_grad/Reshape_1, [<tf.Tensor 'train/gradients/dropout_1/mul_grad/Reshape_1:0' shape=<unknown> dtype=float32>]
  342. train/gradients/fc7/Relu_grad/ReluGrad, [<tf.Tensor 'train/gradients/fc7/Relu_grad/ReluGrad:0' shape=(128, 4096) dtype=float32>]
  343. train/gradients/fc7/fc7_grad/BiasAddGrad, [<tf.Tensor 'train/gradients/fc7/fc7_grad/BiasAddGrad:0' shape=(4096,) dtype=float32>]
  344. train/gradients/fc7/fc7/MatMul_grad/MatMul, [<tf.Tensor 'train/gradients/fc7/fc7/MatMul_grad/MatMul:0' shape=(128, 4096) dtype=float32>]
  345. train/gradients/fc7/fc7/MatMul_grad/MatMul_1, [<tf.Tensor 'train/gradients/fc7/fc7/MatMul_grad/MatMul_1:0' shape=(4096, 4096) dtype=float32>]
  346. train/GradientDescent/learning_rate, [<tf.Tensor 'train/GradientDescent/learning_rate:0' shape=() dtype=float32>]
  347. train/GradientDescent/update_fc7/weights/ApplyGradientDescent, [<tf.Tensor 'train/GradientDescent/update_fc7/weights/ApplyGradientDescent:0' shape=(4096, 4096) dtype=float32_ref>]
  348. train/GradientDescent/update_fc7/biases/ApplyGradientDescent, [<tf.Tensor 'train/GradientDescent/update_fc7/biases/ApplyGradientDescent:0' shape=(4096,) dtype=float32_ref>]
  349. train/GradientDescent/update_fc8/weights/ApplyGradientDescent, [<tf.Tensor 'train/GradientDescent/update_fc8/weights/ApplyGradientDescent:0' shape=(4096, 5) dtype=float32_ref>]
  350. train/GradientDescent/update_fc8/biases/ApplyGradientDescent, [<tf.Tensor 'train/GradientDescent/update_fc8/biases/ApplyGradientDescent:0' shape=(5,) dtype=float32_ref>]
  351. train/GradientDescent, []
  352. fc7/weights_0/gradient/tag, [<tf.Tensor 'fc7/weights_0/gradient/tag:0' shape=() dtype=string>]
  353. fc7/weights_0/gradient, [<tf.Tensor 'fc7/weights_0/gradient:0' shape=() dtype=string>]
  354. fc7/biases_0/gradient/tag, [<tf.Tensor 'fc7/biases_0/gradient/tag:0' shape=() dtype=string>]
  355. fc7/biases_0/gradient, [<tf.Tensor 'fc7/biases_0/gradient:0' shape=() dtype=string>]
  356. fc8/weights_0/gradient/tag, [<tf.Tensor 'fc8/weights_0/gradient/tag:0' shape=() dtype=string>]
  357. fc8/weights_0/gradient, [<tf.Tensor 'fc8/weights_0/gradient:0' shape=() dtype=string>]
  358. fc8/biases_0/gradient/tag, [<tf.Tensor 'fc8/biases_0/gradient/tag:0' shape=() dtype=string>]
  359. fc8/biases_0/gradient, [<tf.Tensor 'fc8/biases_0/gradient:0' shape=() dtype=string>]
  360. fc7/weights_0/tag, [<tf.Tensor 'fc7/weights_0/tag:0' shape=() dtype=string>]
  361. fc7/weights_0, [<tf.Tensor 'fc7/weights_0:0' shape=() dtype=string>]
  362. fc7/biases_0/tag, [<tf.Tensor 'fc7/biases_0/tag:0' shape=() dtype=string>]
  363. fc7/biases_0, [<tf.Tensor 'fc7/biases_0:0' shape=() dtype=string>]
  364. fc8/weights_0/tag, [<tf.Tensor 'fc8/weights_0/tag:0' shape=() dtype=string>]
  365. fc8/weights_0, [<tf.Tensor 'fc8/weights_0:0' shape=() dtype=string>]
  366. fc8/biases_0/tag, [<tf.Tensor 'fc8/biases_0/tag:0' shape=() dtype=string>]
  367. fc8/biases_0, [<tf.Tensor 'fc8/biases_0:0' shape=() dtype=string>]
  368. cross_entropy/tags, [<tf.Tensor 'cross_entropy/tags:0' shape=() dtype=string>]
  369. cross_entropy, [<tf.Tensor 'cross_entropy:0' shape=() dtype=string>]
  370. accuracy/ArgMax/dimension, [<tf.Tensor 'accuracy/ArgMax/dimension:0' shape=() dtype=int32>]
  371. accuracy/ArgMax, [<tf.Tensor 'accuracy/ArgMax:0' shape=(128,) dtype=int64>]
  372. accuracy/ArgMax_1/dimension, [<tf.Tensor 'accuracy/ArgMax_1/dimension:0' shape=() dtype=int32>]
  373. accuracy/ArgMax_1, [<tf.Tensor 'accuracy/ArgMax_1:0' shape=(?,) dtype=int64>]
  374. accuracy/Equal, [<tf.Tensor 'accuracy/Equal:0' shape=(128,) dtype=bool>]
  375. accuracy/Cast, [<tf.Tensor 'accuracy/Cast:0' shape=(128,) dtype=float32>]
  376. accuracy/Const, [<tf.Tensor 'accuracy/Const:0' shape=(1,) dtype=int32>]
  377. accuracy/Mean, [<tf.Tensor 'accuracy/Mean:0' shape=() dtype=float32>]
  378. accuracy_1/tags, [<tf.Tensor 'accuracy_1/tags:0' shape=() dtype=string>]
  379. accuracy_1, [<tf.Tensor 'accuracy_1:0' shape=() dtype=string>]
  380. Merge/MergeSummary, [<tf.Tensor 'Merge/MergeSummary:0' shape=() dtype=string>]
  381. save/filename/input, [<tf.Tensor 'save/filename/input:0' shape=() dtype=string>]
  382. save/filename, [<tf.Tensor 'save/filename:0' shape=() dtype=string>]
  383. save/Const, [<tf.Tensor 'save/Const:0' shape=() dtype=string>]
  384. save/SaveV2/tensor_names, [<tf.Tensor 'save/SaveV2/tensor_names:0' shape=(16,) dtype=string>]
  385. save/SaveV2/shape_and_slices, [<tf.Tensor 'save/SaveV2/shape_and_slices:0' shape=(16,) dtype=string>]
  386. save/SaveV2, []
  387. save/control_dependency, [<tf.Tensor 'save/control_dependency:0' shape=() dtype=string>]
  388. save/RestoreV2/tensor_names, [<tf.Tensor 'save/RestoreV2/tensor_names:0' shape=(16,) dtype=string>]
  389. save/RestoreV2/shape_and_slices, [<tf.Tensor 'save/RestoreV2/shape_and_slices:0' shape=(16,) dtype=string>]
  390. save/RestoreV2, [<tf.Tensor 'save/RestoreV2:0' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:1' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:2' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:3' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:4' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:5' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:6' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:7' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:8' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:9' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:10' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:11' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:12' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:13' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:14' shape=<unknown> dtype=float32>, <tf.Tensor 'save/RestoreV2:15' shape=<unknown> dtype=float32>]
  391. save/Assign, [<tf.Tensor 'save/Assign:0' shape=(96,) dtype=float32_ref>]
  392. save/Assign_1, [<tf.Tensor 'save/Assign_1:0' shape=(11, 11, 3, 96) dtype=float32_ref>]
  393. save/Assign_2, [<tf.Tensor 'save/Assign_2:0' shape=(256,) dtype=float32_ref>]
  394. save/Assign_3, [<tf.Tensor 'save/Assign_3:0' shape=(5, 5, 48, 256) dtype=float32_ref>]
  395. save/Assign_4, [<tf.Tensor 'save/Assign_4:0' shape=(384,) dtype=float32_ref>]
  396. save/Assign_5, [<tf.Tensor 'save/Assign_5:0' shape=(3, 3, 256, 384) dtype=float32_ref>]
  397. save/Assign_6, [<tf.Tensor 'save/Assign_6:0' shape=(384,) dtype=float32_ref>]
  398. save/Assign_7, [<tf.Tensor 'save/Assign_7:0' shape=(3, 3, 192, 384) dtype=float32_ref>]
  399. save/Assign_8, [<tf.Tensor 'save/Assign_8:0' shape=(256,) dtype=float32_ref>]
  400. save/Assign_9, [<tf.Tensor 'save/Assign_9:0' shape=(3, 3, 192, 256) dtype=float32_ref>]
  401. save/Assign_10, [<tf.Tensor 'save/Assign_10:0' shape=(4096,) dtype=float32_ref>]
  402. save/Assign_11, [<tf.Tensor 'save/Assign_11:0' shape=(9216, 4096) dtype=float32_ref>]
  403. save/Assign_12, [<tf.Tensor 'save/Assign_12:0' shape=(4096,) dtype=float32_ref>]
  404. save/Assign_13, [<tf.Tensor 'save/Assign_13:0' shape=(4096, 4096) dtype=float32_ref>]
  405. save/Assign_14, [<tf.Tensor 'save/Assign_14:0' shape=(5,) dtype=float32_ref>]
  406. save/Assign_15, [<tf.Tensor 'save/Assign_15:0' shape=(4096, 5) dtype=float32_ref>]
  407. save/restore_all, []
  408. init, []
  409. fc6_1/Assign/value, [<tf.Tensor 'fc6_1/Assign/value:0' shape=(9216, 4096) dtype=float32>]
  410. fc6_1/Assign, [<tf.Tensor 'fc6_1/Assign:0' shape=(9216, 4096) dtype=float32_ref>]
  411. fc6_1/Assign_1/value, [<tf.Tensor 'fc6_1/Assign_1/value:0' shape=(4096,) dtype=float32>]
  412. fc6_1/Assign_1, [<tf.Tensor 'fc6_1/Assign_1:0' shape=(4096,) dtype=float32_ref>]
  413. conv3_1/Assign/value, [<tf.Tensor 'conv3_1/Assign/value:0' shape=(3, 3, 256, 384) dtype=float32>]
  414. conv3_1/Assign, [<tf.Tensor 'conv3_1/Assign:0' shape=(3, 3, 256, 384) dtype=float32_ref>]
  415. conv3_1/Assign_1/value, [<tf.Tensor 'conv3_1/Assign_1/value:0' shape=(384,) dtype=float32>]
  416. conv3_1/Assign_1, [<tf.Tensor 'conv3_1/Assign_1:0' shape=(384,) dtype=float32_ref>]
  417. conv2_1/Assign/value, [<tf.Tensor 'conv2_1/Assign/value:0' shape=(5, 5, 48, 256) dtype=float32>]
  418. conv2_1/Assign, [<tf.Tensor 'conv2_1/Assign:0' shape=(5, 5, 48, 256) dtype=float32_ref>]
  419. conv2_1/Assign_1/value, [<tf.Tensor 'conv2_1/Assign_1/value:0' shape=(256,) dtype=float32>]
  420. conv2_1/Assign_1, [<tf.Tensor 'conv2_1/Assign_1:0' shape=(256,) dtype=float32_ref>]
  421. conv1_1/Assign/value, [<tf.Tensor 'conv1_1/Assign/value:0' shape=(11, 11, 3, 96) dtype=float32>]
  422. conv1_1/Assign, [<tf.Tensor 'conv1_1/Assign:0' shape=(11, 11, 3, 96) dtype=float32_ref>]
  423. conv1_1/Assign_1/value, [<tf.Tensor 'conv1_1/Assign_1/value:0' shape=(96,) dtype=float32>]
  424. conv1_1/Assign_1, [<tf.Tensor 'conv1_1/Assign_1:0' shape=(96,) dtype=float32_ref>]
  425. conv5_1/Assign/value, [<tf.Tensor 'conv5_1/Assign/value:0' shape=(3, 3, 192, 256) dtype=float32>]
  426. conv5_1/Assign, [<tf.Tensor 'conv5_1/Assign:0' shape=(3, 3, 192, 256) dtype=float32_ref>]
  427. conv5_1/Assign_1/value, [<tf.Tensor 'conv5_1/Assign_1/value:0' shape=(256,) dtype=float32>]
  428. conv5_1/Assign_1, [<tf.Tensor 'conv5_1/Assign_1:0' shape=(256,) dtype=float32_ref>]
  429. conv4_1/Assign/value, [<tf.Tensor 'conv4_1/Assign/value:0' shape=(3, 3, 192, 384) dtype=float32>]
  430. conv4_1/Assign, [<tf.Tensor 'conv4_1/Assign:0' shape=(3, 3, 192, 384) dtype=float32_ref>]
  431. conv4_1/Assign_1/value, [<tf.Tensor 'conv4_1/Assign_1/value:0' shape=(384,) dtype=float32>]
  432. conv4_1/Assign_1, [<tf.Tensor 'conv4_1/Assign_1:0' shape=(384,) dtype=float32_ref>]
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