Created
March 15, 2017 12:09
-
-
Save AndreasMadsen/94f5100aff697cdf5ff6c26f90a6dad7 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. | |
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. | |
W tensorflow/core/common_runtime/bfc_allocator.cc:274] **************************************************************************************************** | |
W tensorflow/core/common_runtime/bfc_allocator.cc:275] Ran out of memory trying to allocate 148.09MiB. See logs for memory state. | |
W tensorflow/core/framework/op_kernel.cc:993] Resource exhausted: OOM when allocating tensor with shape[2560,892,1,17] | |
Traceback (most recent call last): | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1022, in _do_call | |
return fn(*args) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1004, in _run_fn | |
status, run_metadata) | |
File "/appl/python/3.6.0/lib/python3.6/contextlib.py", line 89, in __exit__ | |
next(self.gen) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 469, in raise_exception_on_not_ok_status | |
pywrap_tensorflow.TF_GetCode(status)) | |
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[2560,892,1,17] | |
[[Node: aconv1d_32/Conv2D = 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"](aconv1d_32/ExpandDims, aconv1d_32/ExpandDims_1)]] | |
[[Node: Mean/_29 = _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_128_Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] | |
During handling of the above exception, another exception occurred: | |
Traceback (most recent call last): | |
File "atorus.py", line 54, in <module> | |
data: np.random.randint(0, 128, size=(160, 200)) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 767, in run | |
run_metadata_ptr) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 965, in _run | |
feed_dict_string, options, run_metadata) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run | |
target_list, options, run_metadata) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call | |
raise type(e)(node_def, op, message) | |
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[2560,892,1,17] | |
[[Node: aconv1d_32/Conv2D = 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"](aconv1d_32/ExpandDims, aconv1d_32/ExpandDims_1)]] | |
[[Node: Mean/_29 = _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_128_Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] | |
Caused by op 'aconv1d_32/Conv2D', defined at: | |
File "atorus.py", line 32, in <module> | |
name='aconv1d') | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 639, in convolution | |
op=op) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 421, in with_space_to_batch | |
result = op(input_converted, num_spatial_dims, "VALID") | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 631, in op | |
name=name) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 114, in _non_atrous_convolution | |
name=scope) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 2034, in conv1d | |
data_format=data_format) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 396, in conv2d | |
data_format=data_format, name=name) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op | |
op_def=op_def) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op | |
original_op=self._default_original_op, op_def=op_def) | |
File "/zhome/ff/2/77654/stdpy3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__ | |
self._traceback = _extract_stack() | |
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[2560,892,1,17] | |
[[Node: aconv1d_32/Conv2D = 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"](aconv1d_32/ExpandDims, aconv1d_32/ExpandDims_1)]] | |
[[Node: Mean/_29 = _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_128_Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] | |
( |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment