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STT-tensorflow/tensorflow/compiler/tf2xla
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Anna R e1b13e9e55 Access stateful_random_ops algorithm value as int64. Algorithm is specified to have int64 type here: https://cs.opensource.google/tensorflow/tensorflow/+/master:tensorflow/core/ops/stateful_random_ops.cc;l=38?q=stateful_random_ops.cc and below in this file. 
PiperOrigin-RevId: 338326682
Change-Id: I24ba7c43258d65cd690611769e715a2616a8130f
2020-10-21 13:29:40 -07:00
..
cc
Add target environment constraints to a subset of TensorFlow packages and targets.
2020-09-21 10:57:01 -07:00
g3doc
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kernels
Access stateful_random_ops algorithm value as int64. Algorithm is specified to have int64 type here: https://cs.opensource.google/tensorflow/tensorflow/+/master:tensorflow/core/ops/stateful_random_ops.cc;l=38?q=stateful_random_ops.cc and below in this file.
2020-10-21 13:29:40 -07:00
lib
Add target environment constraints to a subset of TensorFlow packages and targets.
2020-09-21 10:57:01 -07:00
ops
Support XlaGather and XlaScatter ops for bool.
2020-10-14 09:47:40 -07:00
python
Exposes variadic reduce to TF python via xla.py
2020-10-13 13:16:03 -07:00
BUILD
[TF] [saved_model_cli] Add support for multithreaded cpu service. Off by default.
2020-10-20 12:36:58 -07:00
const_analysis_test.cc
Rollback of rollback of disabling XLA:CPU/GPU devices by default.
2020-08-11 13:06:59 -07:00
const_analysis.cc
generate stateless_case op if all ops in all branches are stateless
2020-07-30 16:23:47 -07:00
const_analysis.h
Support interprocedural constant meta-information propagation for compilation
2020-03-30 17:51:05 -07:00
cpu_function_runtime_test.cc
[XLA:CPU] Reconsider alignment heuristics
2020-04-24 02:51:55 -07:00
frontend_attributes_util.cc
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frontend_attributes_util.h
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functionalize_cond_test.cc
Add capability to restrict functionalization via node filter
2020-06-29 10:56:59 -07:00
functionalize_cond.cc
XLA Parallel reduce.
2020-08-27 15:21:33 -07:00
functionalize_cond.h
Add capability to restrict functionalization via node filter
2020-06-29 10:56:59 -07:00
functionalize_control_flow_pass_registration.cc
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functionalize_control_flow_test.cc
Also functionalize control flow in functions for UpgradeLegacyGraph
2020-08-14 17:04:03 -07:00
functionalize_control_flow_util.cc
Add capability to restrict functionalization via node filter
2020-06-29 10:56:59 -07:00
functionalize_control_flow_util.h
Add capability to restrict functionalization via node filter
2020-06-29 10:56:59 -07:00
functionalize_control_flow.cc
XLA Parallel reduce.
2020-08-27 15:21:33 -07:00
functionalize_control_flow.h
Also functionalize control flow in functions for UpgradeLegacyGraph
2020-08-14 17:04:03 -07:00
functionalize_while.cc
XLA Parallel reduce.
2020-08-27 15:21:33 -07:00
functionalize_while.h
Add capability to restrict functionalization via node filter
2020-06-29 10:56:59 -07:00
fused_batchnorm_reserve_space_test.cc
Rollback of rollback of disabling XLA:CPU/GPU devices by default.
2020-08-11 13:06:59 -07:00
graph_compiler_util.cc
[-Wsign-compare] warning fixes batch 9
2020-07-07 01:37:54 +00:00
graph_compiler_util.h
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graph_compiler.cc
tf2xla directory resolutions
2020-07-26 22:06:02 +00:00
graph_compiler.h
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host_compute_metadata.proto
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literal_util_test.cc
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literal_util.cc
tf2xla directory resolutions
2020-07-26 22:06:02 +00:00
literal_util.h
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mlir_bridge_pass_registration.cc
[TF:MLIR] Add generic MLIR pass registration mechanism.
2020-03-10 16:04:53 -07:00
mlir_bridge_pass.cc
Support Session's ConfigProto in TF2 MLIR bridge
2020-10-07 11:44:49 -07:00
mlir_bridge_pass.h
Update context and tfe_wrapper to support mlir_bridge_rollout
2020-10-20 13:38:03 -07:00
mlir_tf2xla.cc
Fix parameter name mismatch.
2020-10-08 18:28:28 -07:00
rearrange_function_argument.cc
recommonded updates
2020-07-29 16:27:57 +00:00
rearrange_function_argument.h
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resource_operation_table_test.cc
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resource_operation_table.cc
Internal change
2020-09-17 21:37:45 -07:00
resource_operation_table.h
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resource_util_test.cc
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resource_util.cc
This CL optimizes C++11 range-based for loops where the variable is copied in each iteration but it would suffice to obtain it by const reference. This is only applied to loop variables of types that are expensive to copy which means they are not trivially copyable or have a non-trivial copy constructor or destructor.
2020-04-07 14:38:02 -07:00
resource_util.h
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shape_util.cc
[-Wsign-compare] warning fixes batch 9
2020-07-07 01:37:54 +00:00
shape_util.h
[TF2XLA] Support unknown ranked tensor in fake param.
2020-04-14 11:15:54 -07:00
sharding_util_test.cc
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sharding_util.cc
Adds ParseShardingFromEdgeSource().
2020-08-03 15:44:43 -07:00
sharding_util.h
Adds ParseShardingFromEdgeSource().
2020-08-03 15:44:43 -07:00
side_effect_util.cc
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side_effect_util.h
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test_util.cc
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test_util.h
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tf2xla_supported_ops_main.cc
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tf2xla_supported_ops.cc
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tf2xla_supported_ops.h
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tf2xla_test.cc
Fix TF2XLA's InitGraph for unused feeds.
2020-05-15 10:23:18 -07:00
tf2xla_util_test.cc
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tf2xla_util.cc
tf2xla directory resolutions
2020-07-26 22:06:02 +00:00
tf2xla_util.h
Restrict propagation of internal attributes in functionalization
2020-07-01 13:41:52 -07:00
tf2xla.cc
Remove an obsolete TODO since allowed_device has been deprecated.
2020-08-20 15:54:51 -07:00
tf2xla.h
Internal change
2020-03-05 14:01:37 -08:00
tf2xla.proto
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type_util.cc
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type_util.h
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xla_argument.cc
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_argument.h
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_compilation_device.cc
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xla_compilation_device.h
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xla_compiled_cpu_function.cc
[xla] add better support for variables(num_variables, index lookup by name) in xla aot/jit.
2020-03-10 21:11:29 -07:00
xla_compiled_cpu_function.h
[XLA:CPU] Reconsider alignment heuristics
2020-04-24 02:51:55 -07:00
xla_compiler_test.cc
Fix build and reenable xla_compiler_test.
2020-08-24 10:03:56 -07:00
xla_compiler.cc
Update tf_mlir_enable_mlir_bridge support unspecified
2020-10-16 09:55:12 -07:00
xla_compiler.h
[TF2XLA] [NFC] Remove misleading comment
2020-08-26 18:31:17 -07:00
xla_context.cc
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_context.h
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_cpu_backend.cc
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xla_expression_test.cc
[TF:XLA] Refactor XlaCompiler, XlaExpression, and XlaOpKernelContext in preparation for adding support for compiling small computations that don't correspond to a single TF op.
2018-11-12 09:29:24 -08:00
xla_expression.cc
[XLA] Use dynamism inference to infer dynamic dimensions for reshape.
2020-08-07 16:39:44 -07:00
xla_expression.h
[XLA] Use dynamism inference to infer dynamic dimensions for reshape.
2020-08-07 16:39:44 -07:00
xla_gpu_backend.cc
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xla_helpers.cc
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_helpers.h
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_jit_compiled_cpu_function_test.cc
[xla] add better support for variables(num_variables, index lookup by name) in xla aot/jit.
2020-03-10 21:11:29 -07:00
xla_jit_compiled_cpu_function.cc
[xla] add better support for variables(num_variables, index lookup by name) in xla aot/jit.
2020-03-10 21:11:29 -07:00
xla_jit_compiled_cpu_function.h
[xla] add better support for variables(num_variables, index lookup by name) in xla aot/jit.
2020-03-10 21:11:29 -07:00
xla_op_kernel.cc
Support dynamic leading dimension for tensorlist.
2020-08-11 15:58:45 -07:00
xla_op_kernel.h
Support dynamic leading dimension for tensorlist.
2020-08-11 15:58:45 -07:00
xla_op_registry_test.cc
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xla_op_registry.cc
[TF2XLA] Remove the serialization of CustomKernelCreator, since there is only one, and we won't add new ones
2020-09-22 10:59:59 -07:00
xla_op_registry.h
[TF2XLA] Remove the serialization of CustomKernelCreator, since there is only one, and we won't add new ones
2020-09-22 10:59:59 -07:00
xla_resource.cc
[TF2XLA] [NFC] Break apart the [TF2XLA/MLIR] -> xla_compiler dependency edge
2020-07-28 13:36:06 -07:00
xla_resource.h
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