- 15 8月, 2017 27 次提交
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165253738
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由 Brennan Saeta 提交于
Previously, the split op did not have any placement hints associated with it, which would sometimes result in very suboptimal placement. This change adds placement hints to avoid unnecessary network transfers. PiperOrigin-RevId: 165250631
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165249531
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由 Toby Boyd 提交于
PiperOrigin-RevId: 165247204
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165245157
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由 Yangzihao Wang 提交于
PiperOrigin-RevId: 165243700
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165242767
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由 Alexandre Passos 提交于
PiperOrigin-RevId: 165242437
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165241905
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165239782
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165239093
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165236032
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由 A. Unique TensorFlower 提交于
165233164 by andrewharp: internal change -- 165227502 by saeta: Add dataset.shard() for parallel (distributed) training. When running across multiple shards (i.e. multiple hosts), in order to avoid reading the same data redundantly and potentially overfitting during early training steps, it is important to split a dataset into non-overlapping subsets. The `.shard()` operator makes this very easy to do. -- 165227077 by A. Unique TensorFlower: Maybe export after each round of evaluation in `continuous_train_and_eval`. -- 165226561 by A. Unique TensorFlower: Adding an option to also update the tensorflow package name to tf-nightly for the nightly releases. -- 165224405 by tanmingxing: Add while_loop op benchmark for further performance study. -- 165223476 by andrewharp: Android demo: correct SSD detector url and handle model archives stored in sub-directories during Gradle build. Resolves #12265 Also remove deprecated mobile multibox model from Gradle build to bring parity with Bazel build. -- PiperOrigin-RevId: 165233164
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165220185
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165217993
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165214339
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165211238
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由 Derek Murray 提交于
This ensures that the various polymorphic datasets will support all of TensorFlow's primitive types. In particular, it adds support for tf.uint16 in `Dataset.from_tensor_slices()`, `Dataset.batch()`, and `Dataset.dense_to_sparse_batch()`; and quantized types in `Dataset.from_sparse_tensor_slices()` and `Dataset.padded_batch(). Note that we do not use TF_CALL_ALL_TYPES, because that macro does not include the quantized types. PiperOrigin-RevId: 165209405
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由 Shanqing Cai 提交于
PiperOrigin-RevId: 165207803
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165207133
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由 Alexandre Passos 提交于
Temporary hack to make most composite ops work. PiperOrigin-RevId: 165205218
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165200062
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由 Alexandre Passos 提交于
PiperOrigin-RevId: 165199520
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由 Alexandre Passos 提交于
PiperOrigin-RevId: 165195680
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165195190
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165195082
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由 A. Unique TensorFlower 提交于
1. There is a bug in in deriving the formulas for batch norm gradient calculation. This commit corrects the formula and updates the implementation. 2. Learning from mistake, this commit uses gradient_checker to test batch_norm_grad in a more generic way -- this method calculates the "real" gradients by evaluating the graph twice, and then compare it with the gradient. RELNOTES: Update formula for fused batch norm in xla PiperOrigin-RevId: 165190486
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- 14 8月, 2017 1 次提交
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由 A. Unique TensorFlower 提交于
to reduce memory consumption. On the wire, this should be fully compatible unless values > uint32max were actually ever used, which is unlikely. PiperOrigin-RevId: 165171764
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- 13 8月, 2017 2 次提交
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165078268
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由 A. Unique TensorFlower 提交于
wrapped in the generated code. PiperOrigin-RevId: 165078237
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- 12 8月, 2017 10 次提交
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由 Shanqing Cai 提交于
PiperOrigin-RevId: 165053647
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由 Benoit Steiner 提交于
PiperOrigin-RevId: 165049643
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165049580
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由 Ali Yahya 提交于
PiperOrigin-RevId: 165049398
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由 Adam Roberts 提交于
Allow the next input in ScheduledOutputTrainingHelper to be computed by any callable by removing requirement that it be a Layer. PiperOrigin-RevId: 165042108
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由 Francois Chollet 提交于
PiperOrigin-RevId: 165039827
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165035012
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由 Ali Yahya 提交于
PiperOrigin-RevId: 165034457
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 165034131
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由 A. Unique TensorFlower 提交于
used with the channels_first data_format. PiperOrigin-RevId: 165028212
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