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pnnx fuse more function to module (#4351)
* pnnx fuse more function to module * rename some pass name * fuse adjacent reshape, fuse pad conv2d * fuse pad conv1d
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,105 @@ | ||
| // Tencent is pleased to support the open source community by making ncnn available. | ||
| // | ||
| // Copyright (C) 2022 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. | ||
|
|
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| #include "fuse_adjacent_reshape.h" | ||
|
|
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| #include <algorithm> | ||
| #include "pass_level2.h" | ||
|
|
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| namespace pnnx { | ||
|
|
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| void fuse_adjacent_reshape(Graph& graph) | ||
| { | ||
| while (1) | ||
| { | ||
| bool matched = false; | ||
|
|
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| for (int i = (int)graph.ops.size() - 1; i > 0; i--) | ||
| { | ||
| Operator* op = graph.ops[i]; | ||
|
|
||
| // look for Tensor.view / Tensor.reshape / torch.squeeze / torch.unsqueeze chain | ||
| if (op->type != "Tensor.view" && op->type != "Tensor.reshape" && op->type != "torch.squeeze" && op->type != "torch.unsqueeze") | ||
| continue; | ||
|
|
||
| if ((op->type == "torch.squeeze" || op->type == "torch.unsqueeze") && op->outputs[0]->shape.empty()) | ||
| continue; | ||
|
|
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| std::vector<Operator*> reshapes_to_delete; | ||
| const Operand* in0 = op->inputs[0]; | ||
| while (in0->consumers.size() == 1 && (in0->producer->type == "Tensor.view" || in0->producer->type == "Tensor.reshape" || in0->producer->type == "torch.squeeze" || in0->producer->type == "torch.unsqueeze")) | ||
| { | ||
| reshapes_to_delete.push_back(in0->producer); | ||
| in0 = in0->producer->inputs[0]; | ||
| } | ||
|
|
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| if (reshapes_to_delete.empty()) | ||
| continue; | ||
|
|
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| // keep the last reshape only | ||
| matched = true; | ||
|
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| op->type = "Tensor.reshape"; | ||
|
|
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| if (!op->outputs[0]->shape.empty()) | ||
| { | ||
| op->params.clear(); | ||
| op->params["shape"] = op->outputs[0]->shape; | ||
| } | ||
|
|
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| for (auto& op0 : reshapes_to_delete) | ||
| { | ||
| for (auto& x : op0->inputs) | ||
| { | ||
| x->remove_consumer(op0); | ||
| } | ||
|
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| Operand* op0_in = op0->inputs[0]; | ||
| Operand* op0_out = op0->outputs[0]; | ||
|
|
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| for (auto& x : op0_out->consumers) | ||
| { | ||
| for (size_t j = 0; j < x->inputs.size(); j++) | ||
| { | ||
| if (x->inputs[j] == op0_out) | ||
| x->inputs[j] = op0_in; | ||
| } | ||
|
|
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| op0_in->consumers.push_back(x); | ||
| } | ||
|
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| op0_in->name = op0_out->name; | ||
|
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| op0_out->producer = 0; | ||
| op0_out->consumers.clear(); | ||
|
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| graph.operands.erase(std::find(graph.operands.begin(), graph.operands.end(), op0_out)); | ||
| delete op0_out; | ||
|
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| op0->inputs.clear(); | ||
| op0->outputs.clear(); | ||
|
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| graph.ops.erase(std::find(graph.ops.begin(), graph.ops.end(), op0)); | ||
| delete op0; | ||
| } | ||
|
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| break; | ||
| } | ||
|
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| if (!matched) | ||
| break; | ||
| } | ||
| } | ||
|
|
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| } // namespace pnnx |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| // Tencent is pleased to support the open source community by making ncnn available. | ||
| // | ||
| // Copyright (C) 2022 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. | ||
|
|
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| #include "ir.h" | ||
|
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| namespace pnnx { | ||
|
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| void fuse_adjacent_reshape(Graph& graph); | ||
|
|
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| } // namespace pnnx |
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