| 46737e4e81314f7482bfd6a710f126a27f5d7975 |
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19-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Remove class xla::LiteralUtil. NFC (mind-numbingly so).
This patch removes class xla::LiteralUtil and rewrites every call to use class
xla::Literal instead.
PiperOrigin-RevId: 159446373
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/reduction_ops_common.cc
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| b05e0840d11ee30c3a66d45daeeea2495b9808e5 |
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15-Mar-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Simplify the implementation and the emitted code for tf.reduce_mean(), by using division with broadcasting instead of an explicit Map().
Change: 150242743
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/reduction_ops_common.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/reduction_ops_common.cc
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