6983bacea1
Enabling this logic removes cross-worker send/recv dependencies required for TPUExecuteOp nodes to access a model's variables. This decreases overhead at the start of a training loop. The approach used is to replace remote variable reads with zero tensors on each worker, except for the primary worker. The zero tensors feed TPUExecute nodes that are local to that worker. For large distributed systems with large variables, this removes the need for the initial Send/Recv variable broadcast, which can be expensive. PiperOrigin-RevId: 351904109 Change-Id: I9f1ed63c2401f227646010a94a70c04f1c96cb7e
140 lines
4.6 KiB
C++
140 lines
4.6 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/compiler/xla/client/executable_build_options.h"
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#include "absl/strings/str_format.h"
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#include "tensorflow/compiler/xla/debug_options_flags.h"
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#include "tensorflow/compiler/xla/execution_options_util.h"
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#include "tensorflow/compiler/xla/shape_util.h"
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namespace xla {
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ExecutableBuildOptions& ExecutableBuildOptions::set_device_allocator(
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se::DeviceMemoryAllocator* allocator) {
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device_allocator_ = allocator;
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return *this;
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}
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se::DeviceMemoryAllocator* ExecutableBuildOptions::device_allocator() const {
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return device_allocator_;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_device_ordinal(
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int device_ordinal) {
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CHECK_GE(device_ordinal, 0);
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device_ordinal_ = device_ordinal;
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return *this;
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}
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int ExecutableBuildOptions::device_ordinal() const { return device_ordinal_; }
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DebugOptions* ExecutableBuildOptions::mutable_debug_options() {
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if (!has_debug_options()) {
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debug_options_ = GetDebugOptionsFromFlags();
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}
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return &debug_options_.value();
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_result_layout(
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const Shape& shape_with_layout) {
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result_layout_set_ = true;
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result_layout_ = shape_with_layout;
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return *this;
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}
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const Shape* ExecutableBuildOptions::result_layout() const {
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return result_layout_set_ ? &result_layout_ : nullptr;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_num_replicas(
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int num_replicas) {
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num_replicas_ = num_replicas;
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return *this;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_num_partitions(
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int num_partitions) {
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num_partitions_ = num_partitions;
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return *this;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_use_spmd_partitioning(
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bool use_spmd_partitioning) {
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use_spmd_partitioning_ = use_spmd_partitioning;
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return *this;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_deduplicate_hlo(
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bool deduplicate_hlo) {
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deduplicate_hlo_ = deduplicate_hlo;
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return *this;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_broadcast_replicated_params(
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bool broadcast_replicated_params) {
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broadcast_replicated_params_ = broadcast_replicated_params;
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return *this;
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}
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ExecutableBuildOptions& ExecutableBuildOptions::set_device_assignment(
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const DeviceAssignment& device_assignment) {
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device_assignment_ = device_assignment;
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return *this;
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}
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string ExecutableBuildOptions::ToString() const {
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string result_layout = "nullopt";
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if (result_layout_set_) {
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result_layout = ShapeUtil::HumanStringWithLayout(result_layout_);
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}
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return absl::StrFormat(
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"ExecutableBuildOptions{device_ordinal=%d, result_layout=%s, "
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"num_replicas=%d}",
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device_ordinal_, result_layout, num_replicas_);
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}
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ExecutionOptions CreateExecutionOptions(
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const ExecutableBuildOptions& build_options,
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const ProgramShape* program_shape) {
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ExecutionOptions execution_options = CreateDefaultExecutionOptions();
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if (build_options.has_debug_options()) {
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*execution_options.mutable_debug_options() = build_options.debug_options();
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}
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if (build_options.result_layout() != nullptr) {
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*execution_options.mutable_shape_with_output_layout() =
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build_options.result_layout()->ToProto();
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} else {
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Shape result_shape(program_shape->result());
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LayoutUtil::SetToDefaultLayout(&result_shape);
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*execution_options.mutable_shape_with_output_layout() =
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result_shape.ToProto();
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}
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execution_options.set_num_replicas(build_options.num_replicas());
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execution_options.set_num_partitions(build_options.num_partitions());
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execution_options.set_use_spmd_partitioning(
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build_options.use_spmd_partitioning());
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execution_options.set_deduplicate_hlo(build_options.deduplicate_hlo());
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if (build_options.has_device_assignment()) {
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TF_CHECK_OK(build_options.device_assignment().Serialize(
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execution_options.mutable_device_assignment()));
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}
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execution_options.set_alias_passthrough_params(
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build_options.alias_passthrough_params());
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return execution_options;
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}
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} // namespace xla
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