UnknownError: Failed to get convolution algorithm.

Great work on this project it looks like a really great tool. I'm getting an error when I get to the process video portion of the code. Do you have any insight on how to go about fixing this error?

Thanks for any help!

Here's the output `--------------------------------------------------------------------------- UnknownError Traceback (most recent call last)

in () 3 #2d pose estimation. For each image creates corresponding .json file with format 4 #similar to output .json format of openpose (https://github.com/CMU-Perceptual-Computing-Lab/openpose) ----> 5 exec(open('2d_pose_estimation.py').read()) 6 7 #3d pose estimation in () /usr/local/lib/python3.6/dist-packages/keras/engine/training.py in predict(self, x, batch_size, verbose, steps) 1167 batch_size=batch_size, 1168 verbose=verbose, -> 1169 steps=steps) 1170 1171 def train_on_batch(self, x, y, /usr/local/lib/python3.6/dist-packages/keras/engine/training_arrays.py in predict_loop(model, f, ins, batch_size, verbose, steps) 292 ins_batch[i] = ins_batch[i].toarray() 293 --> 294 batch_outs = f(ins_batch) 295 batch_outs = to_list(batch_outs) 296 if batch_index == 0: /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py in __call__(self, inputs) 2713 return self._legacy_call(inputs) 2714 -> 2715 return self._call(inputs) 2716 else: 2717 if py_any(is_tensor(x) for x in inputs): /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py in _call(self, inputs) 2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata) 2674 else: -> 2675 fetched = self._callable_fn(*array_vals) 2676 return fetched[:len(self.outputs)] 2677 /usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in __call__(self, *args, **kwargs) 1437 ret = tf_session.TF_SessionRunCallable( 1438 self._session._session, self._handle, args, status, -> 1439 run_metadata_ptr) 1440 if run_metadata: 1441 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg) 526 None, None, 527 compat.as_text(c_api.TF_Message(self.status.status)), --> 528 c_api.TF_GetCode(self.status.status)) 529 # Delete the underlying status object from memory otherwise it stays alive 530 # as there is a reference to status from this from the traceback due to UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node conv1_1/convolution}} = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](conv1_1/convolution-0-TransposeNHWCToNCHW-LayoutOptimizer, conv1_1/kernel/read)]]`

Dene33 / video_to_bvh

UnknownError: Failed to get convolution algorithm. #2