Created
June 24, 2017 14:36
-
-
Save Dexdev08/338dd6aca84a042e23e47ff39ebc7554 to your computer and use it in GitHub Desktop.
3_NeuralNetworks/bidirectional_rnn_error
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
python 3_NeuralNetworks/bidirectional_rnn.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 | |
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 | |
__internal__ build log: | |
Error: internal error. | |
kernel build error: | |
Something went wrong with clCreateKernel, OpenCL error code -45 | |
__internal__ build log: | |
Error: internal error. | |
storing failed kernel into: easycl-failedkernel.cl | |
libc++abi.dylib: terminating with uncaught exception of type std::runtime_error: Something went wrong with clCreateKernel, OpenCL error code -45 | |
__internal__ build log: | |
Error: internal error. | |
storing failed kernel into: easycl-failedkernel.cl | |
Abort trap: 6 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment