| Commit message (Collapse) | Author | Age |
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NOTE: All ops and kernels previously previously defined in
tensorflow/contrib/data have had their name prefixed with
"Experimental" to indicate that they are not (yet) stable, and thus
not subject to backwards or forwards compatibility guarantees.
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for supported operating systems.
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Some APIs are moving out of core TF repo. These APIs will have their own
API compat tests. Adding flag --only_test_core_api=true which will not
check for changes to non-core APIs.
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(finite) dataset to a single element.
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the duration of a single RunInternal() call from RunHandlerPool.
We want to leverage this abstraction for improving the cross-session inter-op
parallelism for lower latency inference in the future.
In the case that global pools aren't used, this change should be a no-op.
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based on standard ranges.
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This change reduce the size of //tensorflow/tools/pip_package:simple_console_windows's zip file from 1000027677 bytes to 47690474 bytes for a CPU build. For GPU build, it will avoid going over 4GB when multiple CUDA compatibility are specified.
To fix #22390
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quantization tooling.
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as reported in https://github.com/tensorflow/tensorflow/issues/22499,
there is unbalanced delimiter `"`
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Synchronize tf-nightly dep on current tb-nightly: https://pypi.org/project/tb-nightly/1.12.0a20180925/
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length" is defined:
* BYTE: The number of bytes in each string. (Default)
* UTF8: The number of UTF-8 encoded Unicode code points in each string.
RELNOTES: Add option to calculate string length in Unicode characters
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script.
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See https://github.com/jupyter/notebook/issues/3946. I found this by
checking package version differences and hunting for recent issues on
Notebook's github page.
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Code uses scipy.signal.stft, which was added in 0.19.
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standard python `print` method, and deprecates the old `tf.Print` operator (to be removed in in v2.0).
It follows the design doc specified in https://github.com/tensorflow/community/pull/14 and additionally incorporates the community feedback and design review decisions.
This CL adds two new internal graph operators: a StringFormat operator that formats a template string with a list of input tensors to insert into the string and outputs a string scalar containing the result, and a PrintV2 operator that prints a string scalar to a specified output stream or logging level.
The formatting op is exposed at `tf.strings.Format`. A new python method is exposed at `tf.print` that takes a list of inputs that may be nested structures and may contain tensors, formats them nicely using the formatting op, and returns a PrintV2 operator that prints them. In Eager mode and inside defuns this PrintV2 operator will automatically be executed, but in graph mode it will need to be either added to `sess.run`, or used as a control dependency for other operators being executed.
As compared to the previous print function, the new print function:
- Has an API that more closely aligns with the standard python3 print
- Supports changing the print logging level/output stream
- allows printing arbitrary (optionally nested) data structures as opposed to just flat lists of tensors
- support printing sparse tensors
- changes printed tensor format to show more meaningful summary (recursively print the first and last elements of each tensor dimension, instead of just the first few elements of the tensor irregardless of dimension).
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ENH/feature_importances_for_boosted_tree
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directional feature contributions); fixed ExampleDebugOutputs bug where it errors with empty trees.
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Supports single and double derivatives but does not supporting nesting yet.
https://github.com/tensorflow/community/pull/13
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drop_remainder)`, which can be used for combining elements of input dataset into "windows". A window
is itself a finite dataset and, among other things, can be used for generalized batching (see https://github.com/tensorflow/community/pull/5 for details).
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Eliminate error when copying a file to itself.
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closes #21790, fixes #21735
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self.maxDiff instead of self.maxDiffs:
"Diff is 2708 characters long. Set self.maxDiff to None to see it."
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