Small fixes related to BF16 fusion_gru and fusion_lstm #33295
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| // Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
| #pragma once | ||
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| #include "paddle/fluid/framework/ir/fc_gru_fuse_pass.h" | ||
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| #include <gtest/gtest.h> | ||
| #include "paddle/fluid/framework/ir/pass_tester_helper.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| namespace fc_gru_test { | ||
| void AddVarToScope(Scope* param_scope, const std::string& name, | ||
| const DDim& dims) { | ||
| auto* tensor = param_scope->Var(name)->GetMutable<LoDTensor>(); | ||
| tensor->Resize(dims); | ||
| tensor->mutable_data<float>(platform::CPUPlace()); | ||
| } | ||
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| Scope* CreateParamScope() { | ||
| auto param_scope = new Scope(); | ||
| AddVarToScope(param_scope, "gru_fc_w", {}); | ||
| AddVarToScope(param_scope, "gru_fc_b", {}); | ||
| AddVarToScope(param_scope, "gru_w", {}); | ||
| AddVarToScope(param_scope, "gru_b", {}); | ||
| AddVarToScope(param_scope, "gru_batch_gate_0", {}); | ||
| AddVarToScope(param_scope, "gru_batch_reset_hidden_prev_0", {}); | ||
| AddVarToScope(param_scope, "gru_batch_hidden_0", {}); | ||
| AddVarToScope(param_scope, "gru_hidden_0", {}); | ||
| AddVarToScope(param_scope, "gru_batch_gate_1", {}); | ||
| AddVarToScope(param_scope, "gru_batch_reset_hidden_prev_1", {}); | ||
| AddVarToScope(param_scope, "gru_batch_hidden_1", {}); | ||
| AddVarToScope(param_scope, "gru_hidden_1", {}); | ||
| return param_scope; | ||
| } | ||
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| std::unique_ptr<ir::Graph> PrepareGraph() { | ||
| // inputs operator output | ||
| // -------------------------------------------------------- | ||
| // (a, gru_fc_w) mul -> fc_0_tmp_0 | ||
| // (fc_0_tmp_0, gru_fc_b) elementwise_add -> fc_0_tmp_1 | ||
| // (fc_0_tmp_1,gru_w,gru_b gru -> gru_out_0 | ||
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| // (b, gru_fc_w) mul -> fc_1_tmp_0 | ||
| // (fc_1_tmp_0, gru_fc_b) elementwise_add -> fc_1_tmp_1 | ||
| // (fc_1_tmp_1,gru_w,gru_b) gru -> gru_out_1 | ||
| Layers layers; | ||
| auto* a = layers.data("a"); | ||
| auto* b = layers.data("b"); | ||
| auto* fc_w = layers.data("gru_fc_w", {}, true); | ||
| auto* fc_b = layers.data("gru_fc_b", {}, true); | ||
| auto* gru_w = layers.data("gru_w", {}, true); | ||
| auto* gru_b = layers.data("gru_b", {}, true); | ||
| auto* fc_0_tmp0 = layers.mul(a, fc_w); | ||
| auto* fc_0_tmp1 = layers.elementwise_add(fc_0_tmp0, fc_b); | ||
| auto* gru_batch_gate_0 = layers.data("gru_batch_gate_0", {}, false); | ||
| auto* gru_batch_reset_hidden_prev_0 = | ||
| layers.data("gru_batch_reset_hidden_prev_0", {}, false); | ||
| auto* gru_batch_hidden_0 = layers.data("gru_batch_hidden_0", {}, false); | ||
| auto* gru_hidden_0 = layers.data("gru_hidden_0", {}, false); | ||
| layers.gru(fc_0_tmp1, gru_w, gru_b, gru_batch_gate_0, | ||
| gru_batch_reset_hidden_prev_0, gru_batch_hidden_0, gru_hidden_0); | ||
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| auto* fc_1_tmp0 = layers.mul(b, fc_w); | ||
| auto* fc_1_tmp1 = layers.elementwise_add(fc_1_tmp0, fc_b); | ||
| auto* gru_batch_gate_1 = layers.data("gru_batch_gate_1", {}, false); | ||
| auto* gru_batch_reset_hidden_prev_1 = | ||
| layers.data("gru_batch_reset_hidden_prev_1", {}, false); | ||
| auto* gru_batch_hidden_1 = layers.data("gru_batch_hidden_1", {}, false); | ||
| auto* gru_hidden_1 = layers.data("gru_hidden_1", {}, false); | ||
| layers.gru(fc_1_tmp1, gru_w, gru_b, gru_batch_gate_1, | ||
| gru_batch_reset_hidden_prev_1, gru_batch_hidden_1, gru_hidden_1); | ||
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| std::unique_ptr<ir::Graph> graph(new ir::Graph(layers.main_program())); | ||
| return std::move(graph); | ||
| } | ||
| } // namespace fc_gru_test | ||
| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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I found the name "gru_creater" a bit confusing. Maybe you could use "gru_creator" ?
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Oh yes, it could be a spelling mistake.