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Support for no GPUs #180

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fisherab opened this issue Dec 20, 2017 · 0 comments
Open

Support for no GPUs #180

fisherab opened this issue Dec 20, 2017 · 0 comments

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@fisherab
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I tried running this code on a machine with GPUs. Quite reasonably it kept reporting
CUDA driver version is insufficient for CUDA runtime version
Later it failed after iter 144 in coordinator.py. The final output and traceback are:

`iter 144: image-id:0347885, time:25.594(sec), regular_loss: 0.248021, total-loss 0.6710(0.1133, 0.5478, 0.000000, 0.0099, 0.0000), instances: 28, batch:(60|248, 0|46, 0|0)
labels
[]
classes
['background']
Traceback (most recent call last):
  File "train/train.py", line 339, in <module>
    train()
  File "train/train.py", line 335, in train
    coord.join(threads)
  File "/home/fisher/workspace/FastMaskRCNN/local/lib/python2.7/site-packages/tensorflow/python/training/coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "/home/fisher/workspace/FastMaskRCNN/local/lib/python2.7/site-packages/tensorflow/python/training/queue_runner_impl.py", line 238, in _run
    enqueue_callable()
  File "/home/fisher/workspace/FastMaskRCNN/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1231, in _single_operation_run
    target_list_as_strings, status, None)
  File "/home/fisher/workspace/FastMaskRCNN/local/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py", line 473, in __exit__
    c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 1 values, but the requested shape has 0
     [[Node: Reshape = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](DecodeRaw_1, Reshape/shape)]]

Is this code expected to run without GPU support - and if not could it easily be made to do so?
`

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