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[XPU] add seq_softmax, seq_expand, lod_reset op in xpu (#9453)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| // Copyright (c) 2022 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. | ||
|
|
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| #include "lite/kernels/xpu/lod_reset_compute.h" | ||
| #include <algorithm> | ||
| #include <vector> | ||
| #include "lite/backends/xpu/xpu_header_sitter.h" | ||
| #include "lite/core/op_registry.h" | ||
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| namespace paddle { | ||
| namespace lite { | ||
| namespace kernels { | ||
| namespace xpu { | ||
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| void LodResetCompute::Run() { | ||
| auto& param = this->Param<param_t>(); | ||
| auto& ctx = this->ctx_->template As<XPUContext>(); | ||
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| auto x = param.X; | ||
| auto output = param.Out; | ||
| output->mutable_data(TARGET(kXPU), x->memory_size()); | ||
| int r = xdnn::copy<int8_t>(ctx.GetRawContext(), | ||
| x->data<int8_t>(), | ||
| reinterpret_cast<int8_t*>(output->raw_data()), | ||
| x->memory_size()); | ||
| CHECK_EQ(r, 0); | ||
| auto lod = output->mutable_lod(); | ||
| if (param.Y) { | ||
| if (param.Y->lod().size()) { | ||
| *lod = param.Y->lod(); | ||
| } else { | ||
| const auto* y_data = param.Y->data<int>(); | ||
| std::vector<int> y_cpu(param.Y->numel()); | ||
| TargetWrapperXPU::MemcpySync(y_cpu.data(), | ||
| y_data, | ||
| param.Y->numel() * sizeof(int), | ||
| IoDirection::DtoH); | ||
| (*lod).resize(1); | ||
| (*lod)[0].resize(param.Y->numel()); | ||
| for (int i = 0; i < param.Y->numel(); i++) { | ||
| (*lod)[0][i] = y_cpu[i]; | ||
| } | ||
| } | ||
| } else { | ||
| (*lod).resize(1); | ||
| for (auto id : param.target_lod) { | ||
| (*lod)[0].push_back(id); | ||
| } | ||
| } | ||
| } | ||
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| } // namespace xpu | ||
| } // namespace kernels | ||
| } // namespace lite | ||
| } // namespace paddle | ||
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| REGISTER_LITE_KERNEL(lod_reset, | ||
| kXPU, | ||
| kAny, | ||
| kNCHW, | ||
| paddle::lite::kernels::xpu::LodResetCompute, | ||
| def) | ||
| .BindInput("X", {LiteType::GetTensorTy(TARGET(kXPU), PRECISION(kAny))}) | ||
| .BindInput("Y", {LiteType::GetTensorTy(TARGET(kXPU), PRECISION(kAny))}) | ||
| .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kXPU), PRECISION(kAny))}) | ||
| .Finalize(); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,36 @@ | ||
| // Copyright (c) 2022 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. | ||
|
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| #pragma once | ||
| #include "lite/core/kernel.h" | ||
| #include "lite/core/op_registry.h" | ||
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| namespace paddle { | ||
| namespace lite { | ||
| namespace kernels { | ||
| namespace xpu { | ||
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| class LodResetCompute : public KernelLite<TARGET(kXPU), PRECISION(kAny)> { | ||
| public: | ||
| using param_t = operators::LodResetParam; | ||
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| void Run() override; | ||
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| virtual ~LodResetCompute() = default; | ||
| }; | ||
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| } // namespace xpu | ||
| } // namespace kernels | ||
| } // namespace lite | ||
| } // namespace paddle |
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