This change reimplements the CUDA autoconfiguration mechanism in Skylark,
providing a `cuda_configure` workspace rule. We keep the same user interface,
the ./configure script, but rather than modifying source files within the
source tree, `cuda_configure` generates a `@local_config_cuda` workspace
containing:
* Symlinks to the CUDA headers and libraries
* BUILD files generated with the correct CUDA and cuDNN versions
* CROSSTOOL config with CUDA include dirs populated
* crosstool_wrapper_driver_is_not_gcc wrapper script with compiler paths and
CUDA compute capabilities set.
* cuda_config.h header file with CUDA versions and compute capabilities set,
which can be `#include`d by source files.
This change also makes the following fixes to `Dockerfile.gpu`:
* Change the `CUDNN_INSTALL_PATH` to point to `/usr/lib/x86_64-linux-gnu`
rather than `/usr/local/cuda` since NVIDIA's image installs `libcudnn.so`
under `/usr/lib/x86_64-linux-gnu`.
* Add env variable to set the minimum compute capability to 3.0.
Fixes#2873
This code implements a file system for file paths starting with gs:// using the HTTP API to Google Cloud Storage. No authentication is implemented yet, so only GCS objects with public access can be used.
Change: 122126085
Change 109240606
Fix typo
Change 109240358
Fix bug in Concat's shape inference due to legacy scalar handling.
The shape function was inadvertently converting outputs of unknown
shape (rank=None) to vectors of unknown length (rank=1), due to
inability to distinguish between legacy scalars and vectors, because
`max(1, None)` is 1.
Change 109237152
Remove numarray requirement in python_config.
Change 109234003
Fix typo in elu documentation.
Change 109232946
Python must now be configured via ./configure script
Change 109232134
Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109231761
Test invalid inputs to softmax_cross_entropy_with_logits.
Change 109230218
Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109229915
Correct comments in seq2seq to show the right input types for embedding models.
(Thanks to hugman@github for bringing this up.)
Change 109229118
Fix resize_images example in documentation and allow resize_images to run on a single image with partially-known shape.
Change 109228940
Fix demo and node add/remove button spacing
Change 109227909
Include Elu in the NN docs.
Change 109227059
Adds variable_op_scope and makes variable_scope always add a name_scope.
This creates an op scope for variables that makes it easy to create independent
operations with a default name by making that name unique for the current scope
and it allows explicit names that are not made unique.
Change 109224492
Streamline yuv -> rgb conversion to be done in one pass in native code.
The entire process now takes ~2ms (including the ByteBuffer.get() calls), down from 10+ ms when the arrays were being interleaved in Java prior to conversion.
Also abstracting common yuv->rgb color conversion into helper method.
Change 109224389
Add ability to move nodes in and out of auxiliary nodes in graph.
Change 109217177
Update generated Op docs.
Change 109215030
Implementation of the ELU activation function: http://arxiv.org/abs/1511.07289
Change 109209848
When GPUBFCAllocator runs out of memory, also log a summary
of chunks in use by size.
Change 109206569
Switched to the public version of the Eigen::sign method since it supports complex numbers.
Change 109199813
Modify tensorflow.SequenceExample to support multiple-length sequences.
Base CL: 109241553
Changes:
- Updates to op documentation and index by Josh
- More changes to BUILD files for python 3 support by @girving
- Fix to Eigen to use DenseIndex everywhere by @jiayq
- Enable configuration for cuda compute capability by @zheng-xq,
including updates to docs.
- Route aggregation method through optimizer by schuster
- Updates to install instructions for bazel 0.1.1.
Base CL: 107702099
