History log of /external/tensorflow/tensorflow/compiler/xla/tests/pad_test.cc
Revision Date Author Comments (<<< Hide modified files) (Show modified files >>>)
5ab07fcfc51fd524622e2c583f81f0cd8eca97d5 30-Jan-2018 Yuanzhong Xu <yuanzx@google.com> Add BF16 test cases for pad.

PiperOrigin-RevId: 183846616
/external/tensorflow/tensorflow/compiler/xla/tests/pad_test.cc
ddd8e21b7c1d23bf80ddf0141b44e168c17647f3 27-Jul-2017 Eli Bendersky <eliben@google.com> [XLA] Consolidate all similar main()s in tests into a single target.

PiperOrigin-RevId: 163354724
/external/tensorflow/tensorflow/compiler/xla/tests/pad_test.cc
46737e4e81314f7482bfd6a710f126a27f5d7975 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/xla/tests/pad_test.cc
c77399d44fc2ed6912e7f301839ad3e404739b80 14-Jun-2017 Eli Bendersky <eliben@google.com> [XLA] Remove remaining flags from cpu_compiler_flags

And move them to debug_options_flags; these two flags (embed_ir_in_executable,
dump_debug_json_to) are also unified with similarly named GPU compiler flags.
This lets us completely remove the cpu_compiler_flags module.

PiperOrigin-RevId: 158989621
/external/tensorflow/tensorflow/compiler/xla/tests/pad_test.cc
8cedce4b806639c351d45a00324fcc269704f42b 12-Jun-2017 Eli Bendersky <eliben@google.com> [XLA] Replace some XLA CPU compiler specific options by generic "debug options".

LLVM optimization level, extra LLVM flags and "cpu parallel" all turn into
debug options on the xla proto. "cpu parallel" is combined with "backend extra
options" as a map.

PiperOrigin-RevId: 158751784
/external/tensorflow/tensorflow/compiler/xla/tests/pad_test.cc
5aed36230aaa8e727990f1b8e37c82bed8b5356f 24-Jan-2017 Mark Heffernan <meheff@google.com> Improve support for pad instructions with negative padding.

Define semantics of negative padding in the Pad instruction to be identical to padding inside of convolution operation ConvWithGeneralPadding. Also make negative padding work in the backends.

Specific changes:
(1) Add transformation to algebraic simplifier which replaces negative padding with slices.
(2) fix ReferenceUtil to properly handle negative padding and interior padding.
(3) Add negative padding explanation to operation semantics g3doc.
(4) Extend LayoutsInShapesEqual and CopyLayoutBetweenShapes to work with shapes which are not exactly compatible but have the same rank and tuple structure.
Change: 145355127
/external/tensorflow/tensorflow/compiler/xla/tests/pad_test.cc
1e67c90e2caceeff82d09793d1ef5fa0300d219b 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/xla/tests/pad_test.cc