104 lines
3.8 KiB
C++
104 lines
3.8 KiB
C++
/**
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* Copyright 2019-2021 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "transform/graph_ir/op_declare/pad_ops_declare.h"
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#include <vector>
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namespace mindspore::transform {
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// PadD
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INPUT_MAP(PadD) = {{1, INPUT_DESC(x)}};
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// 输入映射，x索引为1
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ATTR_MAP(PadD) = {{"paddings", ATTR_DESC(paddings, AnyTraits<std::vector<std::vector<int64_t>>>())}};
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// 属性映射，"paddings"类型为float,"sqrt_mode"类型为std::vector<std::vector<int64_t>>
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OUTPUT_MAP(PadD) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(PadD, kNamePadD, ADPT_DESC(PadD))
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// 注册PadD操作的适配器描述kNamePadD
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// Pad
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INPUT_MAP(Pad) = {{1, INPUT_DESC(x)}, {2, INPUT_DESC(paddings)}};
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// 输入映射，x索引为1，paddings索引为2
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ATTR_MAP(Pad) = EMPTY_ATTR_MAP;
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// 属性映射，空
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OUTPUT_MAP(Pad) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(Pad, kNamePadV1, ADPT_DESC(Pad))
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// 注册Pad操作的适配器描述kNamePadV1
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// BroadcastToD
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INPUT_MAP(BroadcastToD) = {{1, INPUT_DESC(x)}};
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// 输入映射，x索引为1
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ATTR_MAP(BroadcastToD) = {{"shape", ATTR_DESC(shape, AnyTraits<int64_t>(), AnyTraits<std::vector<int64_t>>())}};
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// 属性映射，"shape"类型为int64_t和std::vector<std::vector<int64_t>>
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OUTPUT_MAP(BroadcastToD) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(BroadcastToD, kNameBroadcastTo, ADPT_DESC(BroadcastToD))
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// 注册BroadcastToD操作的适配器描述kNameBroadcastTo
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// Diag
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INPUT_MAP(Diag) = {{1, INPUT_DESC(x)}};
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// 输入映射，x索引为1
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ATTR_MAP(Diag) = EMPTY_ATTR_MAP;
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// 属性映射，空
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OUTPUT_MAP(Diag) = {{0, OUTPUT_DESC(y)}};
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//输出映射，y索引为0
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REG_ADPT_DESC(Diag, kNameDiag, ADPT_DESC(Diag))
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// 注册Diag操作的适配器描述kNameDiag
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// FillD
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INPUT_MAP(FillD) = {{1, INPUT_DESC(value)}};
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// 输入映射，value索引为1
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ATTR_MAP(FillD) = {{"dims", ATTR_DESC(dims, AnyTraits<std::vector<int64_t>>())}};
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// 属性映射，属性"dims"的类型是std::vector<int64_t>
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OUTPUT_MAP(FillD) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(FillD, kNameFillD, ADPT_DESC(FillD))
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// 注册FillD操作的适配器描述kNameFillD
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// Fill
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INPUT_MAP(Fill) = {{1, INPUT_DESC(dims)}, {2, INPUT_DESC(value)}};
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// 输入映射，dims索引为1，value索引为2
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ATTR_MAP(Fill) = EMPTY_ATTR_MAP;
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// 属性映射，空
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OUTPUT_MAP(Fill) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(Fill, kNameFillV1, ADPT_DESC(Fill))
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// 注册Fill操作的适配器描述kNameFillV1
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// PadV3
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INPUT_MAP(PadV3) = {{1, INPUT_DESC(x)}, {2, INPUT_DESC(paddings)}, {3, INPUT_DESC(constant_values)}};
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// 输入映射，x索引为1，paddings索引为2，constant_values索引为3
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ATTR_MAP(PadV3) = {{"mode", ATTR_DESC(mode, AnyTraits<std::string>())},
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{"pad_contiguous", ATTR_DESC(paddings_contiguous, AnyTraits<bool>())}};
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// 属性映射，属性"dims""pad_contiguous"的类型分别是std::string和bool
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OUTPUT_MAP(PadV3) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(PadV3, kNamePadV3, ADPT_DESC(PadV3))
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// 注册PadV3操作的适配器描述kNamePadV3
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// PadV2
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INPUT_MAP(PadV2) = {{1, INPUT_DESC(x)}, {2, INPUT_DESC(paddings)}, {3, INPUT_DESC(constant_values)}};
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// 输入映射，x索引为1，paddings索引为2，constant_values索引为3
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ATTR_MAP(PadV2) = EMPTY_ATTR_MAP;
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// 属性映射，空
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OUTPUT_MAP(PadV2) = {{0, OUTPUT_DESC(y)}};
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// 输出映射，y索引为0
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REG_ADPT_DESC(PadV2, kNamePadV2, ADPT_DESC(PadV2))
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// 注册PadV2操作的适配器描述kNamePadV2
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} // namespace mindspore::transform
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