3_neural_networks_convolutional_network_COCL_error

3_neural_networks_convolutional_network_COCL_error

export COCL_OFFSETS_32BIT=1
(env3) Aironin:examples dexterang$ python 3_NeuralNetworks/convolutional_network.py 
Extracting /tmp/data/train-images-idx3-ubyte.gz
Extracting /tmp/data/train-labels-idx1-ubyte.gz
Extracting /tmp/data/t10k-images-idx3-ubyte.gz
Extracting /tmp/data/t10k-labels-idx1-ubyte.gz
COCL_OFFSETS_32BIT enabled
OpenCL platform: Apple
OpenCL device: HD Graphics 5000
I tensorflow/core/common_runtime/gpu/gpu_device.cc:989] Found device 0 with properties: 
name: HD Graphics 5000
major: -1 minor: -1 memoryClockRate (GHz) 1200
pciBusID 0000.0000
Total memory: 1.50GiB
Free memory: 384.00MiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:877] cannot enable peer access from device ordinal 0 to device ordinal 0
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1011] DMA: 0 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1021] 0:   N 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1083] Creating TensorFlow device (/gpu:0) -> (device: 0, name: HD Graphics 5000, pci bus id: 0000.0000)
cl_driver DeviceAllocate 192937984
Traceback (most recent call last):
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 972, in _do_call
    return fn(*args)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 950, in _run_fn
    self._extend_graph()
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 999, in _extend_graph
    self._session, graph_def.SerializeToString(), status)
  File "/usr/local/Cellar/python3/3.6.1/Frameworks/Python.framework/Versions/3.6/lib/python3.6/contextlib.py", line 89, in __exit__
    next(self.gen)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/framework/errors.py", line 463, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors.InvalidArgumentError: Cannot assign a device to node 'Conv2D': Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available.
	 [[Node: Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/device:GPU:0"](Reshape, Variable/read)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "3_NeuralNetworks/convolutional_network.py", line 112, in <module>
    sess.run(init)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 717, in run
    run_metadata_ptr)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 915, in _run
    feed_dict_string, options, run_metadata)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 965, in _do_run
    target_list, options, run_metadata)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 985, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors.InvalidArgumentError: Cannot assign a device to node 'Conv2D': Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available.
	 [[Node: Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/device:GPU:0"](Reshape, Variable/read)]]

Caused by op 'Conv2D', defined at:
  File "3_NeuralNetworks/convolutional_network.py", line 97, in <module>
    pred = conv_net(x, weights, biases, keep_prob)
  File "3_NeuralNetworks/convolutional_network.py", line 56, in conv_net
    conv1 = conv2d(x, weights['wc1'], biases['bc1'])
  File "3_NeuralNetworks/convolutional_network.py", line 39, in conv2d
    x = tf.nn.conv2d(x, W, strides=[1, strides, strides, 1], padding='SAME')
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 394, in conv2d
    data_format=data_format, name=name)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 748, in apply_op
    op_def=op_def)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2388, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/Users/dexterang/projects/tf-coriander/env3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1300, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): Cannot assign a device to node 'Conv2D': Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available.
	 [[Node: Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/device:GPU:0"](Reshape, Variable/read)]]