| Commit message (Collapse) | Author | Age |
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PiperOrigin-RevId: 213326503
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self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about:
* the fact that the session may be reused.
* the session is not closed even when doing a "with self.test_session()" statement.
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PiperOrigin-RevId: 213324570
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PiperOrigin-RevId: 213322116
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PiperOrigin-RevId: 213318051
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PiperOrigin-RevId: 213316504
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PiperOrigin-RevId: 213311243
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* bias_nd is set to have CUDNN_DATA_FLOAT, even though BiasType is not float.
* double is supported but not exposed through the public interface.
* DoFusedConvolveImpl has duplicated information in its template parameter list.
PiperOrigin-RevId: 213308435
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PiperOrigin-RevId: 213305616
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PiperOrigin-RevId: 213296537
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Fixes #19935
PiperOrigin-RevId: 213286535
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`num_parallel_calls` argument of `tf.data.Dataset.map()`, `tf.data.Dataset.interleave()`, and `tf.contrib.data.map_and_batch()`.
When `tf.data.AUTOTUNE` is specified, the level of parallelism is determined at runtime. The underlying mechanism instruments the input pipeline to build a performance model and then uses the model to find the optimal values for the parallelism knobs.
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PiperOrigin-RevId: 213282302
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PiperOrigin-RevId: 213281730
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PiperOrigin-RevId: 213275003
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PiperOrigin-RevId: 213262445
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The test changes are awkward. None of these are XLA bugs, it's just that the op
definitions in tensorflow are really inconsistent. I tried to infer whether the
limitation is on signed types, index types or just arbitrary. In the latter
case just int8/uint8 is blacklisted, we should probably lift that requirement
at some point.
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PiperOrigin-RevId: 213212445
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PiperOrigin-RevId: 213210253
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phawkins@ suggested these in cr/212715067 but I accidentally made the changes in
another client.
PiperOrigin-RevId: 213208811
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Intel-tensorflow:shaohua/fix_gcc6.3_build_link_issue
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PiperOrigin-RevId: 213191899
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I need these to write readable unit tests for TF graph transformations. All of
my use cases will live inside tensorflow/compiler so putting it in
tensorflow/compiler/jit for now; but we can move these out if other users are
interested.
In the future we may want to auto-generate type safe versions of these from the
op registrations like we generate C++ wrappers today.
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PiperOrigin-RevId: 213128841
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lieu of a new num_cores_per_replica.
PiperOrigin-RevId: 213111326
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PiperOrigin-RevId: 213100589
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function
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update to newest master
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PiperOrigin-RevId: 213074939
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It breaks. should be s/input_shape/inputs_shape.
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Mixing index type doesn't work well with latest Eigen.
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Previously, tf.Variable arguments to a defun-d Python function were made captured inputs. This change makes it possible to parameterize functions on DT_RESOURCE inputs.
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PiperOrigin-RevId: 213062112
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of Optimizer.compute_gradients().
PiperOrigin-RevId: 213060585
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- Logic change: Moved getting metric name and function out of the training/eval loops in eager mode
- Moved setting metric attributes on the model out the function which calls metric functions.
PiperOrigin-RevId: 213060143
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since xla::DotGeneral was added.
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PiperOrigin-RevId: 213049674
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Also added some experimental C APIs for facilitate the use of eager C APIs in
S4TF compiler.
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PiperOrigin-RevId: 213037039
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