wehub-resource-sync
119 lines
4.4 KiB
C++
119 lines
4.4 KiB
C++
/* Copyright (c) 2022 PaddlePaddle 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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#include "test/cpp/auto_parallel/spmd_rule_test_util.h"
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namespace paddle {
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namespace distributed {
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namespace auto_parallel {
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const std::vector<int64_t>& get_dims_mapping(
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const phi::distributed::ArgDistAttr& dist_attr) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr));
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const auto& tensor_attr =
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PADDLE_GET_CONST(phi::distributed::TensorDistAttr, dist_attr);
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return tensor_attr.dims_mapping();
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}
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bool is_partial(const phi::distributed::ArgDistAttr& dist_attr) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr));
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const auto& tensor_attr =
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PADDLE_GET_CONST(phi::distributed::TensorDistAttr, dist_attr);
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return tensor_attr.is_partial();
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}
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const std::set<int64_t> get_partial_dims(
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const phi::distributed::ArgDistAttr& dist_attr) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr));
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const auto& tensor_attr =
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PADDLE_GET_CONST(phi::distributed::TensorDistAttr, dist_attr);
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return tensor_attr.partial_dims();
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}
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const std::vector<std::vector<int64_t>>& get_multi_dims_mapping(
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const phi::distributed::ArgDistAttr& dist_attr) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr));
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const auto& tensor_attr =
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PADDLE_GET_CONST(phi::distributed::TensorDistAttr, dist_attr);
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return tensor_attr.multi_dims_mapping();
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}
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void check_dim_mapping(const phi::distributed::ArgDistAttr& dist_attr,
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const std::vector<int64_t>& dim_mapping,
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const std::string& line) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr))
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<< line;
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EXPECT_EQ(get_dims_mapping(dist_attr), dim_mapping) << line;
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}
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void check_multi_dims_mapping(
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const phi::distributed::ArgDistAttr& dist_attr,
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const std::vector<std::vector<int64_t>>& dim_mapping,
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const std::string& line) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr))
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<< line;
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EXPECT_EQ(get_multi_dims_mapping(dist_attr), dim_mapping) << line;
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}
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void check_empty_dist_attr(const phi::distributed::ArgDistAttr& dist_attr,
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const std::string& line) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr))
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<< line;
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EXPECT_EQ(PADDLE_GET_CONST(phi::distributed::TensorDistAttr, dist_attr),
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phi::distributed::TensorDistAttr());
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}
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void check_partial_dims(const phi::distributed::ArgDistAttr& dist_attr,
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const std::set<int64_t>& dims,
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const std::string& line) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(dist_attr))
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<< line;
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EXPECT_EQ(get_partial_dims(dist_attr), dims) << line;
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}
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void clean_partial_status(phi::distributed::ArgDistAttr* dist_attr) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(*dist_attr));
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auto& tensor_attr = PADDLE_GET(phi::distributed::TensorDistAttr, *dist_attr);
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tensor_attr.clean_partial_status();
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}
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void clean_partial_dims(phi::distributed::ArgDistAttr* dist_attr,
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std::vector<int64_t> dims) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(*dist_attr));
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auto& tensor_attr = PADDLE_GET(phi::distributed::TensorDistAttr, *dist_attr);
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tensor_attr.clean_partial_dims(dims);
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}
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void set_partial_status(phi::distributed::ArgDistAttr* dist_attr,
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std::vector<int64_t> dims) {
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EXPECT_TRUE(
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paddle::holds_alternative<phi::distributed::TensorDistAttr>(*dist_attr));
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auto& tensor_attr = PADDLE_GET(phi::distributed::TensorDistAttr, *dist_attr);
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tensor_attr.set_partial_status(dims);
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}
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} // namespace auto_parallel
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} // namespace distributed
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} // namespace paddle
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