XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators.
XLA is still experimental; we are releasing it early to get the community involved.
Change: 143990941
Some users do not want or need this support and it significantly increases
their dependencies and binary sizes. After this change, users must explicitly
depend on :gcs_file_system to enable this support.
Change: 143129406
Additionally:
- change single quotes to double quotes to make path rewriting easier
- guard windows lib reference with PLATFORM_WINDOWS
- fixed failing kmeans test
Change: 141515942
This change allows Bazel to fetch and build SWIG rather than getting it
from the system. This change also improves the i/o performance of the
SWIG build, makes it hermetically sealed, and ensures tf_py_wrap_cc()
can function correctly across Bazel repositories.
CC: #4983
Change: 136783531
Notes:
- The test is tagged as manual, and you must download the Hadoop distribution to run it.
- We ask during ./configure whether to include HDFS support.
- Copied hdfs.h from Hadoop here in third_party. It's licensed Apache 2.0.
Change: 133615494
It is necessary to symlink in files from .git/ in order to make
bazel aware of changes to the current head. As it is this is not
completely reliable when git repositories are in a dirty index
state. First class support for bazel git a reported bug but
not a high priority.
./configure sets up the symlinks by calling the gen_git_source.py
a bazel genrule calls gen_git_source.py to generate version_info.cc
Also changed cmake and make to build this properly.
Change: 132328009
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
