Implement OSS TPU ordinal selector.
PiperOrigin-RevId: 360295595 Change-Id: I70168d92e735e5f42c46b0b7742195649b094433
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@ -956,6 +956,7 @@ cc_library(
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name = "tpu_ordinal_selector_op",
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srcs = ["tpu_ordinal_selector_op.cc"],
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deps = [
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":tpu_ordinal_selector",
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"//tensorflow/core:framework",
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],
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alwayslink = 1,
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@ -968,3 +969,14 @@ cc_library(
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"//tensorflow/core:framework",
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],
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)
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cc_library(
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name = "tpu_ordinal_selector",
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hdrs = ["tpu_ordinal_selector.h"],
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deps = [
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":tpu_ordinal_selector_interface",
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"//tensorflow/core:framework",
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"//tensorflow/core/tpu:tpu_api",
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"//tensorflow/core/tpu:tpu_ops_c_api_hdrs",
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],
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)
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58
tensorflow/core/tpu/kernels/tpu_ordinal_selector.h
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58
tensorflow/core/tpu/kernels/tpu_ordinal_selector.h
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@ -0,0 +1,58 @@
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/* Copyright 2021 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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#ifndef TENSORFLOW_CORE_TPU_KERNELS_TPU_ORDINAL_SELECTOR_H_
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#define TENSORFLOW_CORE_TPU_KERNELS_TPU_ORDINAL_SELECTOR_H_
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#include "tensorflow/core/tpu/kernels/tpu_ordinal_selector_interface.h"
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#include "tensorflow/core/tpu/tpu_api.h"
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#include "tensorflow/core/tpu/tpu_ops_c_api.h"
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namespace tensorflow {
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namespace tpu {
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// A reserved ID for deferred core selection. Intentionally set at a number
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// that is more than the number of cores available in a future system.
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constexpr int32 kDeferredCoreSelectionReserved = -8193;
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class TPUOrdinalSelector : TPUOrdinalSelectorInterface {
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public:
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explicit TPUOrdinalSelector(int num_cores_per_replica = 1) {
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OpsApiFn()->TfTpuOrdinalSelector_CreateFn(&ordinal_selector_,
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num_cores_per_replica);
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}
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~TPUOrdinalSelector() override {
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OpsApiFn()->TfTpuOrdinalSelector_DestroyFn(ordinal_selector_);
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}
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int64 GetOrdinal(absl::optional<uint64> key, int64_t* req_id) override {
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int64 ordinal;
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OpsApiFn()->TfTpuOrdinalSelector_GetOrdinalFn(ordinal_selector_, key,
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req_id, &ordinal);
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return ordinal;
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}
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void DequeueFromCoreSelector(int32_t device_ordinal,
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int64_t req_id) override {
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OpsApiFn()->TfTpuOrdinalSelector_DequeueFromCoreSelectorFn(
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ordinal_selector_, device_ordinal, req_id);
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}
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private:
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TfTpuOrdinalSelector* ordinal_selector_;
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};
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} // namespace tpu
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} // namespace tensorflow
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#endif // TENSORFLOW_CORE_TPU_KERNELS_TPU_ORDINAL_SELECTOR_H_
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@ -19,14 +19,11 @@ limitations under the License.
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#include "tensorflow/core/framework/tensor.h"
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#include "tensorflow/core/framework/tensor_shape.h"
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#include "tensorflow/core/framework/types.h"
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#include "tensorflow/core/tpu/kernels/tpu_ordinal_selector.h"
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namespace tensorflow {
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namespace {
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// A reserved ID for deferred core selection. Intentionally set at a number
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// that is more than the number of cores available in a future system.
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constexpr int32 kDeferredCoreSelectionReserved = -8193;
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// TPUOrdinalSelectorOp is a no-op for backward compatibility. The core
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// selection algorithm happens inside TPUPartitionedCall.
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class TPUOrdinalSelectorOp : public OpKernel {
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@ -37,7 +34,7 @@ class TPUOrdinalSelectorOp : public OpKernel {
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void Compute(OpKernelContext* ctx) override {
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Tensor output(DT_INT32, TensorShape({}));
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output.flat<int>().setValues({kDeferredCoreSelectionReserved});
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output.flat<int>().setValues({tpu::kDeferredCoreSelectionReserved});
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ctx->set_output(0, output);
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ctx->SetStatus(Status::OK());
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}
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