fa1949b2a73759798e24c640ecd2036d623f6858 |
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30-Jan-2018 |
Rasmus Larsen <rmlarsen@google.com> |
Merge commit for internal changes
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8fdef24247814d322991127091cc6d0c1eb60380 |
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29-Jan-2018 |
Russell Power <power@google.com> |
Switch over to max_pool_v2 in Python This fix is a follow up to 11875 so that MaxPool in Python use v2 version. As 11875 has been merged some time ago, this fix conforms to the deprecation policy. This fix is realted to 11875 and 4746. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> PiperOrigin-RevId: 183727668
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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995378c4c9ff156cae7a365cfdc1480a3ee6d0bf |
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26-Jan-2018 |
Yong Tang <yong.tang.github@outlook.com> |
Switch over to max_pool_v2 in Python (#14983) * Switch over to max_pool_v2 in Python This fix is a follow up to 11875 so that MaxPool in Python use v2 version. As 11875 has been merged some time ago, this fix conforms to the deprecation policy. This fix is realted to 11875 and 4746. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update test cases in contrib/specs/python/specs_test due to MaxPool -> MaxPoolV2 Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update tensorflow/contrib/receptive_field Update tensorflow/contrib/receptive_field due to max_pool's strides and ksize from attr -> input Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Remove const restriction for strides and ksize Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Register MaxPoolV2 with XLA Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Reformat with clang-format -i --style=Google Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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c975bc2b3fdc9674dd71a7ed89c74ce8ea2d46f0 |
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23-Dec-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Refactor large list of hard-coded compile-time constant arguments to operators. Add a new .CompileTimeConstInput() annotation on kernel registrations instead. PiperOrigin-RevId: 180008567
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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93f9caba8e371bd2f55ec789ed2f8ece9b3d976d |
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30-Mar-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Refactor TF/XLA operator registration. Rather than requiring an explicit registration for each (operator, backend) pair, by default register all operators for all backends, for all types supported by each backend. As we are beginning to see out-of-tree backends, as XLA translations of operators are added to the TF/XLA bridge, per-backend explicit registration lists will become stale. Registering all operators on all backends is both less verbose and more maintainable for backend authors. Since not all operators work on all backends, we add several constraint mechanisms: * operators may specify type constraints that are shared across all backends. * operators may specify a whitelist of backends on which they work. This is useful if an operator is CPU-only because of a CustomCall. * backends may register a function that specifies operators to blacklist or whose registrations to modify. This is necessary since operator implementations cannot know the set of all out-of-tree backends. This change also lays the ground-work for removing the list of compile-time constant inputs in const_analysis.cc. In a subsequent CL, compile-time constant inputs can be annotated on the XLA operator registration. Change: 151724100
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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c5238fb028f728def4d6ece44e06e8003a8defbb |
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08-Mar-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Implement 3d pooling ops in the TF/XLA bridge. Change: 149538112
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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19dd9342e7bc55c877367b7474caf41e819e38c3 |
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06-Mar-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Add support for 3D convolution to XLA bridge. Generalize common backward convolution dimension computation code to support > 2 dimensions. Fix crash for zero-element Tensors passed to Conv3DBackpropFilter on CPU. Change: 149329330
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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a8c325e57c1077f1e8df540a20bd8b36d3d1f968 |
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15-Feb-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Split XlaOpRegistry out of xla_compilation_device.{cc,h} into a separate xla_op_registry.{cc,h}. Move XlaExpression out of xla_context.{cc,h} into xla_compilation_device.{cc,h}, since it is used to wrap computation handles on the XLA compilation device. Change just moves code around, there are no functional changes. Change: 147632770
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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1e67c90e2caceeff82d09793d1ef5fa0300d219b |
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09-Jan-2017 |
Peter Hawkins <phawkins@google.com> |
Initial open-source release of XLA: Accelerated Linear Algebra. XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/pooling_ops.cc
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