* Ignore tools/git/gen
* Avoid bash error in python_config.sh
Without this change, I get
Please specify the location of python. [Default is /usr/bin/python]:
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N]
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N]
No Hadoop File System support will be enabled for TensorFlow
./util/python/python_config.sh: line 124: [: : integer expression expected
Found possible Python library paths:
/usr/local/lib/python2.7/dist-packages
/usr/lib/python2.7/dist-packages
/usr/local/buildtools/current/sitecustomize
Please input the desired Python library path to use. Default is [/usr/local/lib/python2.7/dist-packages]
The problem is that -eq is valid only for integers on both sides.
* Fixed and improved ./configure on Windows
1. Make the script work with path containing spaces
2. On Windows, disable bazel clean --expunge(it's broken)
3. Create junctions instead of copying python lib, include, numpy folders
4. fixed symlink creation in gen_git_source.py with python3
* Fixed typo and opt out GCP, HDFS, CUDA on Windows
* Fix python path split on OSX
* Fixed ./configure on Windows
Basically, symlink doesn't work on Windows
* Fixed shebang of gen_git_source.py
* gen_git_source.py: Replace os.popen with subprocess.check_output
os.popen doesn't work with Bazel properly on Windows, due to this error:
RuntimeError: Cannot locate a COMSPEC environment variable to use as the shell
In the getsitepackages code path,
library_paths is a list.
Make the distutils code path a list as well.
Remove extraneous whitespace while we're here.
Without this, running ./configure:
$ ./configure
Please specify the location of python. [Default is /Users/josh/.virtualenvs/tf/bin/python]:
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] n
No Google Cloud Platform support will be enabled for TensorFlow
Traceback (most recent call last):
File "<stdin>", line 18, in <module>
TypeError: can only concatenate list (not "str") to list
Found possible Python library paths:
Please input the desired Python library path to use. Default is []
ln: util/python/python_lib: Invalid argument
Change 109344341
Teach ./configure about Python 3 (and other minor Python 3 issues)
./configure now writes bazel.rc based on a bazel.rc.template, which gives us a
place to tell bazel which version of Python we were using.
Also fix a few tests whose Python 3 support had degraded.
The only thing left before we have Python 3 support is
https://github.com/google/protobuf/pull/1023
Change 109343002
Update ops.pbtxt to reflect 109321497.
Change 109342838
Do memory deallocation outside the critical section in gpu_event_mgr.cc.
Change 109334210
PTB LSTM example: use slicing instead of splitting the inputs.
Change 109332238
Cleanup TensorBoard local development environment
Change 109331051
Use __all__ in __init__.py to restrict exported modules
Specifically, __all__ is now anything that (1) doesn't begin with an underscore
and (2) isn't a non-whitelisted module.
This fixes one tiny piece of b/25561952. Specifically, the following no longer
exist: tf.np, tf.math_ops, and tf.variables. tf.ops and tf.tensor_util still
exist but shouldn't; that will have to wait for a later CL.
Change 109327154
tf.tuple allow Tensors to be passed in as control_inputs like tf.control_dependencies.
Change 109324239
Make tf.control_dependencies(None) clear the control dependencies.
Use that to prevent ops created for Variables to inherit the current
control dependencies.
This fixes issues when using ExponentialMovingAverages with control
dependencies.
Change 109323719
Added support for boolean tf.scatter_update.
Base CL: 109348398
Change 109321497
Move all images to images directory to make docs versioning easier
- adjust all paths in the docs to point to the new locations
- remove some now redundant section-order tags added for the old website
Change 109317807
Added a kernel op to compute the eigendecomposition of a self-adjoint matrix.
Added a new kernel op called self_adjoint_eig (and a batch_self_adjoint_eig) that
computes the eigendecomposition of a self-adjoint matrix. The return value is
the concatenation of the eigenvalues as a row vector, and the eigenvectors.
Change 109310773
Change `_read32()` in the MNIST input example to return an int.
Currently we return a 1-D numpy array with 1 element. Numpy has
recently deprecated the ability to treat this as a scalar, and as a
result this tutorial fails. The fix returns the 0th element of the
array instead.
Change 109301269
Re-arrange TensorBoard demo files.
Change 109273589
add ci_build for ci.tensorflow.org
Change 109260293
Speed up NodeDef -> OpKernel process by not spending time generating
an error message for missing "_kernel" attr that will be thrown away.
Change 109257179
TensorFlow:make event_file_loader_test hermetic by using tempfile
instead of fixed filenames. Without this change, running
event_file_loader_test twice in the same client (locally)
causes it to fail, because it writes into the same file and appends
another event, instead of starting from scratch.
Change 109256464
Minor cleanup in TensorBoard server code
Change 109255382
Change to reduce critical section times in gpu_event_mgr.h:
(1) Call stream->ThenRecordEvent outside the EventMgr critical section
(2) Do memory deallocation outside the critical section
Speeds up one configuration of ptb_word_lm from 2924 words per
second (wps) to 3278 wps on my desktop machine with a Titan X.
Change 109254843
Fix use of uninitialized memory in test.
Change 109250995
python_config.sh needs a license header
Otherwise the license test fails.
Change 109249914
add ci_build for ci.tensorflow.org
Change 109249397
Fixes reduce_sum (complex) on GPU segfaults.
Fixes#357
Change 109245652
add ci_build for ci.tensorflow.org
Base CL: 109321563
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
