| // Tencent is pleased to support the open source community by making ncnn available. | |
| // | |
| // Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. | |
| // | |
| // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except | |
| // in compliance with the License. You may obtain a copy of the License at | |
| // | |
| // https://opensource.org/licenses/BSD-3-Clause | |
| // | |
| // 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. | |
| namespace pnnx { | |
| class F_layer_norm : public GraphRewriterPass | |
| { | |
| public: | |
| const char* match_pattern_graph() const | |
| { | |
| return R"PNNXIR(7767517 | |
| 8 7 | |
| pnnx.Input input_0 0 1 input | |
| pnnx.Input input_1 0 1 weight | |
| pnnx.Input input_2 0 1 bias | |
| pnnx.Input input_3 0 1 normalized_shape | |
| prim::Constant op_0 0 1 eps value=%eps | |
| prim::Constant op_1 0 1 cudnn_enabled value=* | |
| aten::layer_norm op_2 6 1 input normalized_shape weight bias eps cudnn_enabled out | |
| pnnx.Output output 1 0 out | |
| )PNNXIR"; | |
| } | |
| const char* type_str() const | |
| { | |
| return "F.layer_norm"; | |
| } | |
| }; | |
| REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(F_layer_norm, 10) | |
| } // namespace pnnx | |