review.tizen.org Git - platform/upstream/tensorflow.git/commit

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author	Peter Hawkins <phawkins@google.com>
	Tue, 15 May 2018 16:47:50 +0000 (09:47 -0700)
committer	TensorFlower Gardener <gardener@tensorflow.org>
	Tue, 15 May 2018 16:50:47 +0000 (09:50 -0700)
commit	c515b31314f0c4b551bded4961e096db98a998fc
tree	6c258f70f2a306b4dff9aaa26ee340d551aa22fd	tree \| snapshot
parent	6f971fb184560ba7e5aada79e539588f73450d16	commit \| diff

[TF:XLA] Generalize existing support for keeping variables on an XLA device in reshaped form, instead allowing XLA devices to keep all tensors in a reshaped form outside an XLA computation.

PiperOrigin-RevId: 196683444

20 files changed:

tensorflow/compiler/aot/tests/tfcompile_test.cc		diff \| blob \| history
tensorflow/compiler/jit/kernels/xla_launch_op.cc		diff \| blob \| history
tensorflow/compiler/jit/xla_cpu_device.cc		diff \| blob \| history
tensorflow/compiler/jit/xla_device.cc		diff \| blob \| history
tensorflow/compiler/jit/xla_device.h		diff \| blob \| history
tensorflow/compiler/jit/xla_device_context.cc		diff \| blob \| history
tensorflow/compiler/jit/xla_device_context.h		diff \| blob \| history
tensorflow/compiler/jit/xla_gpu_device.cc		diff \| blob \| history
tensorflow/compiler/jit/xla_launch_util.cc		diff \| blob \| history
tensorflow/compiler/tests/BUILD		diff \| blob \| history
tensorflow/compiler/tests/xla_device_gpu_test.py	[new file with mode: 0644]	blob
tensorflow/compiler/tests/xla_device_test.py		diff \| blob \| history
tensorflow/compiler/tf2xla/BUILD		diff \| blob \| history
tensorflow/compiler/tf2xla/kernels/retval_op.cc		diff \| blob \| history
tensorflow/compiler/tf2xla/xla_compiler.cc		diff \| blob \| history
tensorflow/compiler/tf2xla/xla_compiler.h		diff \| blob \| history
tensorflow/compiler/tf2xla/xla_compiler_test.cc		diff \| blob \| history
tensorflow/compiler/tf2xla/xla_context.cc		diff \| blob \| history
tensorflow/compiler/tf2xla/xla_context.h		diff \| blob \| history
tensorflow/compiler/tf2xla/xla_op_kernel.cc		diff \| blob \| history

Domain: Machine Learning / ML Framework;

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