| Commit message (Collapse) | Author | Age |
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Change: 133622066
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parsing finishes, not at some point after parsing begins. This makes the relevant message disappear only after parsing completes.
Change: 133621202
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Change: 133619612
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remaining protected methods from ScatterWebGL. Rename Scatter to ScatterPlot.
ScatterWebGL is now ScatterPlotWebGLContainer, is concrete, and dispatches its
previously abstract methods to an array of ScatterPlotWebGLVisualizer objects. Rename ScatterWebGLPointsCanvasLabels.ts to ScatterPlotWebGLVisualizerPointsLabels.ts.
Move getProjectedPointFromIndex and vector3DToScreenCoords to util.
Change: 133615506
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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
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dependency tracking.
Change: 133614260
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Change: 133604056
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Change: 133602571
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is used and num_epochs is specified, the last batch sometimes is lost.
Change: 133599817
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Change: 133598510
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SessionCreator.
Moved graph writing to the checkpoint saver hook.
Change: 133596696
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Change: 133593676
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Change: 133582948
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Change: 133576294
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Change: 133569919
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Change: 133555861
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cell with layer normalization and recurrent dropout capabilities.
Change: 133553815
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Move HumanReadableElapsedTime from tensorflow/core/lib/strings/str_util.h
to tensorflow/core/lib/strings/numbers.h to match the other HumanReadable*
routines.
Change: 133533798
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Change: 133501515
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Change: 133501226
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even in the case of a non-CPU resident value, because
meta_ may later be used to test for a dead Tensor.
Change: 133500231
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This change moves the %typemap(in) FeedVector into C++ code in
tf_session_helper.cc, which now implements the conversion from a
string-to-array dictionary into the arguments to `TF_Run()`.
Change: 133494142
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Change: 133492514
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1) For softmax: "Computes log softmax activations." -> "Computes softmax activations."
2) For log_softmax: Adds a missing log operation in the documented formula.
Change: 133492074
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It was already defined in the header. Some compilers are less inclined
to give you the benefit of the doubt when there's a type with the same
name declared in `tensorflow` and `tensorflow::{anonymous namespace}`.
Change: 133487238
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Change: 133476675
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in scatterWebGL are the methods required to control a
scatterWebGLPointsCanvasLabels. This allows scatterWebGLPointsCanvasLabels to
become an aggregate class, which will pave the way for general WebGL-enabled
visualizers to coexist and render.
Change: 133473665
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Change: 133466188
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Change: 133465495
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empty string (and therefore a direct session was needed); the result was an exception.
Change: 133464309
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Change: 133459813
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Change: 133459446
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My intent is to be able to re-use most of GraphConstructor to implement the
equivalent of python's import_graph_def() in C++. Breaking that intent
down into a series of smaller changes that morph GraphConstructor into
a form that will work for that, as well as continue to serve the purpose
it does today.
This particular change should not change behavior in any way.
Change: 133456212
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Optimizations such as constant-folding and common-subexpression-elimination
are applied directly on a Graph* (for example, by GraphOptimizer in
tensorflow/core/common_runtime/graph_optimizer.h).
I could not find any usage of the GraphConstructorOptions removed in this
change. Would like to keep this file focused on conversion from GraphDef to
Graph and leave operations on the in-memory representation elsewhere.
Change: 133447199
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Change: 133443409
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- add a proabbility sampling function for SDCA (AdaSDCA+)
- add LossDerivative and SmoothnessConstant for losses
Change: 133443399
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training of SVMs.
Change: 133441267
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Not providing both graph seed and op seed must use a random seed value according to set_random_seed(). Current behavior chooses a fixed seed value when op seed is not provided, and also ignores the graph seed.
Change: 133440862
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Change: 133439235
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Change: 133434099
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Fixes https://twitter.com/karpathy/status/765681445637533696
Example new output for a CPU-only binary that executes:
```
import tensorflow as tf
s = tf.Session()
with tf.device("/gpu:0"):
s.run(tf.constant(1.0) + tf.constant(2.0))
```
is:
Traceback (most recent call last):
File "baz.py", line 5, in <module>
s.run([c])
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 717, in run
run_metadata_ptr)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 855, in _run
raise RuntimeError('The Session graph is empty. Add operations to the '
RuntimeError: The Session graph is empty. Add operations to the graph before calling run().
(tf)vrv@vijay-linux:~/vrv.tensorflow/tf$ python baz.py
Traceback (most recent call last):
File "baz.py", line 4, in <module>
s.run(tf.constant(1.0) + tf.constant(2.0))
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 717, in run
run_metadata_ptr)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 915, in _run
feed_dict_string, options, run_metadata)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 965, in _do_run
target_list, options, run_metadata)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 985, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors.InvalidArgumentError: Cannot assign a device to node 'add': Could not satisfy explicit device specification '/device:GPU:0' because no devices matching that specification are registered in this process; available devices: /job:localhost/replica:0/task:0/cpu:0
[[Node: add = Add[T=DT_FLOAT, _device="/device:GPU:0"](Const, Const_1)]]
Caused by op u'add', defined at:
File "baz.py", line 4, in <module>
s.run(tf.constant(1.0) + tf.constant(2.0))
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/ops/math_ops.py", line 748, in binary_op_wrapper
return func(x, y, name=name)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_math_ops.py", line 71, in add
result = _op_def_lib.apply_op("Add", x=x, y=y, name=name)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 749, in apply_op
op_def=op_def)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2372, in create_op
original_op=self._default_original_op, op_def=op_def)
File "REDACTED/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1298, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Cannot assign a device to node 'add': Could not satisfy explicit device specification '/device:GPU:0' because no devices matching that specification are registered in this process; available devices: /job:localhost/replica:0/task:0/cpu:0
[[Node: add = Add[T=DT_FLOAT, _device="/device:GPU:0"](Const, Const_1)]]
The main error now shows up at the end, which is where people are
likely to find it more easily.
Change: 133429936
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Change: 133426995
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from private methods. Fix an exception when the page is loaded while the mouse is on the GL canvas.
Change: 133424898
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Change: 133424282
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Change: 133423962
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Change: 133423449
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Change: 133422226
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- Removed score assertions from nonlinear_test. These will never be stable until we can make TF deterministic, and even if we could they wouldn't be particularly useful tests for an inherently stochastic system.
- Removed saver_test. It wasn't testing anything useful.
- Removed early_stopping_test in favor of a better unit test for ValidationMonitor.
Change: 133420080
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