ResourceExhaustedError: OOM when allocating tensor with shape[32,16,172,172]
	 [[Node: conv2d_2/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](conv2d_1/Relu, conv2d_2/kernel/read)]]
	 [[Node: metrics/acc/Mean/_53 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_357_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

Caused by op 'conv2d_2/convolution', defined at:
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel_launcher.py", line 16, in <module>
    app.launch_new_instance()
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
    app.start()
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel\kernelapp.py", line 477, in start
    ioloop.IOLoop.instance().start()
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
    super(ZMQIOLoop, self).start()
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tornado\ioloop.py", line 888, in start
    handler_func(fd_obj, events)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
    return fn(*args, **kwargs)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
    self._handle_recv()
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
    self._run_callback(callback, msg)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
    callback(*args, **kwargs)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
    return fn(*args, **kwargs)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
    return self.dispatch_shell(stream, msg)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel\kernelbase.py", line 235, in dispatch_shell
    handler(stream, idents, msg)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
    user_expressions, allow_stdin)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
    res = shell.run_cell(code, store_history=store_history, silent=silent)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\ipykernel\zmqshell.py", line 533, in run_cell
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\IPython\core\interactiveshell.py", line 2698, in run_cell
    interactivity=interactivity, compiler=compiler, result=result)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\IPython\core\interactiveshell.py", line 2802, in run_ast_nodes
    if self.run_code(code, result):
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\IPython\core\interactiveshell.py", line 2862, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-1-e0bebaab3870>", line 46, in <module>
    model.add(Convolution2D(16, kernel_size=(5, 5), strides=(1, 1),activation='relu'))
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\keras\models.py", line 475, in add
    output_tensor = layer(self.outputs[0])
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\keras\engine\topology.py", line 602, in __call__
    output = self.call(inputs, **kwargs)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\keras\layers\convolutional.py", line 164, in call
    dilation_rate=self.dilation_rate)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 3164, in conv2d
    data_format='NHWC')
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 661, in convolution
    op=op)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 331, in with_space_to_batch
    return op(input, num_spatial_dims, padding)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 653, in op
    name=name)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 129, in _non_atrous_convolution
    name=name)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 403, in conv2d
    data_format=data_format, name=name)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op
    op_def=op_def)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "C:\Program Files\anaconda\envs\tensor-gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__
    self._traceback = _extract_stack()

ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[32,16,172,172]
	 [[Node: conv2d_2/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](conv2d_1/Relu, conv2d_2/kernel/read)]]
	 [[Node: metrics/acc/Mean/_53 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_357_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]


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