[PIR] Refine op yaml system #59364
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,68 @@ | ||
| // Copyright (c) 2023 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 "paddle/fluid/pir/dialect/operator/ir/ir_selected_rows.h" | ||
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| #include "paddle/pir/core/enforce.h" | ||
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| namespace paddle { | ||
| namespace dialect { | ||
| IrSelectedRows::IrSelectedRows(phi::DataType dtype, | ||
| const phi::DDim& dims, | ||
| phi::DataLayout layout, | ||
| const LoD& lod, | ||
| size_t offset) | ||
| : dims_(dims), dtype_(dtype), layout_(layout), lod_(lod), offset_(offset) {} | ||
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| IrSelectedRows::IrSelectedRows(const IrSelectedRows& other) { | ||
| dims_ = other.dims(); | ||
| dtype_ = other.dtype(); | ||
| layout_ = other.layout(); | ||
| lod_ = other.lod(); | ||
| offset_ = other.offset(); | ||
| } | ||
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| IrSelectedRows& IrSelectedRows::operator=(const IrSelectedRows& other) { | ||
| dims_ = other.dims(); | ||
| dtype_ = other.dtype(); | ||
| layout_ = other.layout(); | ||
| lod_ = other.lod(); | ||
| offset_ = other.offset(); | ||
| return *this; | ||
| } | ||
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| IrSelectedRows& IrSelectedRows::operator=(IrSelectedRows&& other) noexcept { | ||
| dims_ = std::move(other.dims()); | ||
| dtype_ = other.dtype(); | ||
| layout_ = other.layout(); | ||
| lod_ = std::move(other.lod()); | ||
| offset_ = other.offset(); | ||
| return *this; | ||
| } | ||
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| int64_t IrSelectedRows::numel() const { return phi::product(dims_); } | ||
|
There was a problem hiding this comment. 这里会出现 [128, 3, -1, -1]的场景么？或者说这里的ddim都是非负数了已经 There was a problem hiding this comment. 可能会出现，IrTensor 和 IrSelectRows 仅会PIR组网的 infer meta 阶段使用，全局搜索了一下框架目前所有的 infer_meta 函数，共有2个使用到 numel 的地方：NanmedianInferMeta、FullWithTensorInferMeta，但这两个函数并未对这种情况做处理。目前执行未发现错误应该是因为执行期间还会执行一次 infer_meta. |
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| const phi::Place& IrSelectedRows::place() const { | ||
| IR_THROW("Don't use IrSelectedRows::place method."); | ||
| } | ||
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| void* IrSelectedRows::AllocateFrom(phi::Allocator* allocator, | ||
| phi::DataType dtype, | ||
| size_t requested_size, | ||
| bool fake_alloc) { | ||
| IR_THROW("Don't use IrSelectedRows::AllocateFrom method."); | ||
| } | ||
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| } // namespace dialect | ||
| } // namespace paddle | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,91 @@ | ||
| // Copyright (c) 2023 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 | ||
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| #include "paddle/phi/core/allocator.h" | ||
| #include "paddle/phi/core/tensor_base.h" | ||
| #include "paddle/phi/core/tensor_meta.h" | ||
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| namespace paddle { | ||
| namespace dialect { | ||
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| using LoD = std::vector<std::vector<size_t>>; | ||
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| class IrSelectedRows | ||
| : public phi::TensorBase, | ||
| public phi::TypeInfoTraits<phi::TensorBase, IrSelectedRows> { | ||
| public: | ||
| IrSelectedRows() = default; | ||
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| IrSelectedRows(phi::DataType dtype, | ||
| const phi::DDim& dims, | ||
| phi::DataLayout layout, | ||
| const LoD& lod, | ||
| size_t offset = 0); | ||
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| IrSelectedRows(IrSelectedRows&& other) = default; | ||
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| IrSelectedRows(const IrSelectedRows& other); | ||
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| IrSelectedRows& operator=(const IrSelectedRows& other); | ||
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| IrSelectedRows& operator=(IrSelectedRows&& other) noexcept; | ||
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| virtual ~IrSelectedRows() = default; | ||
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| public: | ||
| static const char* name() { return "IrSelectedRows"; } | ||
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| int64_t numel() const override; | ||
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| const phi::DDim& dims() const noexcept override { return dims_; } | ||
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| void SetDims(const phi::DDim& dims) { dims_ = dims; } | ||
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| const phi::Place& place() const override; | ||
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| phi::DataType dtype() const noexcept override { return dtype_; } | ||
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| void SetDtype(phi::DataType dtype) { dtype_ = dtype; } | ||
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| phi::DataLayout layout() const noexcept override { return layout_; } | ||
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| void SetLayout(phi::DataLayout layout) { layout_ = layout; } | ||
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| const LoD& lod() const noexcept { return lod_; } | ||
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| void SetLod(LoD lod) { lod_ = lod; } | ||
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| size_t offset() const noexcept { return offset_; } | ||
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| bool valid() const noexcept override { return true; } | ||
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| bool initialized() const override { return true; } | ||
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| void* AllocateFrom(phi::Allocator* allocator, | ||
| phi::DataType dtype, | ||
| size_t requested_size = 0, | ||
| bool fake_alloc = false) override; | ||
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| private: | ||
| phi::DDim dims_; | ||
| phi::DataType dtype_{phi::DataType::FLOAT32}; | ||
| phi::DataLayout layout_{phi::DataLayout::ANY}; | ||
| LoD lod_; | ||
| size_t offset_{0}; | ||
| }; | ||
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| } // namespace dialect | ||
| } // namespace paddle |
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下面这几个构造函数是不是都可以用=default 就可以了。因为成员里没有指针对象，默认的应该够用？
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感谢建议，单独 pr 完善一下~