/** * Copyright 2020-2021 Huawei Technologies Co., Ltd * * 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. */ #include "ops/transpose.h" #include #include #include #include "ops/op_utils.h" #include "utils/check_convert_utils.h" #include "abstract/primitive_infer_map.h" namespace mindspore { namespace ops { namespace { abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector &input_args) { MS_EXCEPTION_IF_NULL(primitive); auto op_name = primitive->name(); auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape]; auto x_min_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kMinShape]; auto x_max_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kMaxShape]; ShapeVector p_value; if (input_args.size() == 1) { ValuePtr perm = primitive->GetAttr("perm"); auto perm_val = perm->cast(); MS_EXCEPTION_IF_NULL(perm_val); auto perm_val_data = perm_val->value(); (void)std::transform(std::begin(perm_val_data), std::end(perm_val_data), std::back_inserter(p_value), [](const ValuePtr &e) -> int64_t { return GetValue(e); }); } else { p_value = CheckAndConvertUtils::CheckAttrTupleInt("shape", input_args[1]->BuildValue(), op_name); } if (x_shape.size() != p_value.size()) { MS_EXCEPTION(ValueError) << "The dimension of x " << x_shape.size() << " and perm " << p_value.size() << " must be equal."; } for (auto i : p_value) { (void)CheckAndConvertUtils::CheckInteger("perm element", i, kGreaterEqual, 0, op_name); (void)CheckAndConvertUtils::CheckInteger("perm element", i, kLessThan, p_value.size(), op_name); } std::vector tmp(p_value); for (auto it = tmp.begin(); it != tmp.end();) { auto dim = *it; if (!tmp.empty()) { it = tmp.erase(it); } if (std::find(tmp.begin(), tmp.end(), dim) != tmp.end()) { MS_EXCEPTION(ValueError) << "The value of perm is wrong"; } } std::vector in_shape(p_value); (void)std::transform(in_shape.begin(), in_shape.end(), in_shape.begin(), [x_shape](int i) { return x_shape[i]; }); if (!x_min_shape.empty() && !x_max_shape.empty()) { std::vector min_shape; std::vector max_shape; for (auto i : p_value) { min_shape.push_back(x_min_shape[i]); max_shape.push_back(x_max_shape[i]); } return std::make_shared(in_shape, min_shape, max_shape); } else { return std::make_shared(in_shape); } } TypePtr InferType(const PrimitivePtr &prim, const std::vector &input_args) { MS_EXCEPTION_IF_NULL(prim); return CheckAndConvertUtils::CheckSubClass("x", input_args[0]->BuildType(), {kTensorType}, prim->name()); } } // namespace AbstractBasePtr TransposeInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, const std::vector &input_args) { MS_EXCEPTION_IF_NULL(primitive); (void)CheckAndConvertUtils::CheckInteger("Transpose infer", SizeToLong(input_args.size()), kGreaterEqual, 1, primitive->name()); auto type = InferType(primitive, input_args); auto shape = InferShape(primitive, input_args); return abstract::MakeAbstract(shape, type); } REGISTER_PRIMITIVE_EVAL_IMPL(Transpose, prim::kPrimTranspose, TransposeInfer, nullptr, true); } // namespace ops } // namespace mindspore