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Small fixes related to BF16 fusion_gru and fusion_lstm #33295
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1ad2478
Small changes related to BF16 fusion_gru and fusion_lstm
wozna ad5c8b0
Correct to pass arg by value
wozna 419d486
Add conditions to rnn op
wozna 0c1ba3b
Correct the spelling mistake
wozna e552ac3
Improving the test with checking activation
wozna 5edf125
Merge branch 'develop' into bf16_fusion_rnn
wozna e731d53
Trigger CI
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| Original file line number | Diff line number | Diff line change |
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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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