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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| // 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. | ||
|
|
||
| #include "pass_level2.h" | ||
|
|
||
| namespace pnnx { | ||
|
|
||
| class torch_clone : public GraphRewriterPass | ||
| { | ||
| public: | ||
| const char* match_pattern_graph() const | ||
| { | ||
| return R"PNNXIR(7767517 | ||
| 4 3 | ||
| pnnx.Input input 0 1 input | ||
| prim::Constant op_0 0 1 memory_format value=%memory_format | ||
| aten::clone op_1 2 1 input memory_format out | ||
| pnnx.Output output 1 0 out | ||
| )PNNXIR"; | ||
| } | ||
|
|
||
| const char* type_str() const | ||
| { | ||
| return "torch.clone"; | ||
| } | ||
|
|
||
| void write(Operator* op, const std::map<std::string, Parameter>& captured_params) const | ||
| { | ||
| if (captured_params.at("memory_format").i == 0) | ||
| op->params["memory_format"] = "torch.contiguous_format"; | ||
| if (captured_params.at("memory_format").i == 1) | ||
| op->params["memory_format"] = "torch.preserve_format"; | ||
| if (captured_params.at("memory_format").i == 2) | ||
| op->params["memory_format"] = "torch.channels_last"; | ||
| } | ||
| }; | ||
|
|
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| REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(torch_clone, 20) | ||
|
|
||
| } // namespace pnnx |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,67 @@ | ||
| // 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. | ||
|
|
||
| #include "pass_level2.h" | ||
|
|
||
| namespace pnnx { | ||
|
|
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| class torch_normal : public GraphRewriterPass | ||
| { | ||
| public: | ||
| const char* match_pattern_graph() const | ||
| { | ||
| return R"PNNXIR(7767517 | ||
| 6 5 | ||
| pnnx.Input input_0 0 1 input | ||
| pnnx.Input input_1 0 1 mean | ||
| pnnx.Input input_2 0 1 std | ||
| pnnx.Input input_3 0 1 generator | ||
| aten::normal op_0 4 1 input mean std generator out | ||
| pnnx.Output output 1 0 out | ||
| )PNNXIR"; | ||
| } | ||
|
|
||
| const char* type_str() const | ||
| { | ||
| return "torch.normal"; | ||
| } | ||
| }; | ||
|
|
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| REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(torch_normal, 20) | ||
|
|
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| class torch_normal_1 : public GraphRewriterPass | ||
| { | ||
| public: | ||
| const char* match_pattern_graph() const | ||
| { | ||
| return R"PNNXIR(7767517 | ||
| 6 5 | ||
| pnnx.Input input_0 0 1 input | ||
| pnnx.Input input_1 0 1 mean | ||
| pnnx.Input input_2 0 1 std | ||
| pnnx.Input input_3 0 1 generator | ||
| aten::normal_ op_0 4 1 input mean std generator out | ||
| pnnx.Output output 1 0 out | ||
| )PNNXIR"; | ||
| } | ||
|
|
||
| const char* type_str() const | ||
| { | ||
| return "torch.normal"; | ||
| } | ||
| }; | ||
|
|
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| REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(torch_normal_1, 20) | ||
|
|
||
| } // namespace pnnx |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| // 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. | ||
|
|
||
| #include "pass_ncnn.h" | ||
|
|
||
| namespace pnnx { | ||
|
|
||
| namespace ncnn { | ||
|
|
||
| class torch_clone : public GraphRewriterPass | ||
| { | ||
| public: | ||
| const char* match_pattern_graph() const | ||
| { | ||
| return R"PNNXIR(7767517 | ||
| 3 2 | ||
| pnnx.Input input 0 1 input | ||
| torch.clone op_0 1 1 input out %*=%* | ||
| pnnx.Output output 1 0 out | ||
| )PNNXIR"; | ||
| } | ||
|
|
||
| const char* type_str() const | ||
| { | ||
| return "Noop"; | ||
| } | ||
|
|
||
| const char* name_str() const | ||
| { | ||
| return "clone"; | ||
| } | ||
|
|
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| void write(Operator* /*op*/, const std::map<std::string, Parameter>& /*captured_params*/) const | ||
| { | ||
| } | ||
| }; | ||
|
|
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| REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(torch_clone, 20) | ||
|
|
||
| } // namespace ncnn | ||
|
|
||
| } // namespace pnnx |
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