* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#ifndef METADEF_CXX_INC_EXE_GRAPH_RUNTIME_INFER_SHAPE_CONTEXT_H_
#define METADEF_CXX_INC_EXE_GRAPH_RUNTIME_INFER_SHAPE_CONTEXT_H_
#include <type_traits>
#include "shape.h"
#include "tensor.h"
#include "runtime_attrs.h"
#include "extended_kernel_context.h"
namespace gert {
* 在节点输入后的扩展输入的索引,若需要扩展,请新增枚举类型
*/
enum class InputExternLayout : uint32_t {
kInferShapeFunc = 1,
kInferenceContext = 2,
};
* InferShape kernel的context
*/
class InferShapeContext : public ExtendedKernelContext {
public:
* 根据输入index,获取输入shape指针
* @param index 输入index
* @return 输入shape指针,index非法时,返回空指针
*/
const Shape *GetInputShape(const size_t index) const {
return GetInputPointer<Shape>(index);
}
* 根据输入index,获取输出tensor指针
* 若算子被配置为'data'数据依赖,则返回的Tensor对象中保存了Host内存地址;反之,内存地址为nullptr。
* @param index 输入index
* @return 输入tensor指针,index非法时,返回空指针
*/
const Tensor *GetInputTensor(const size_t index) const {
return GetInputPointer<Tensor>(index);
}
* 基于算子IR原型定义,获取`OPTIONAL_INPUT`类型的输入tensor指针
* 若算子被配置为'data'数据依赖,则返回的Tensor对象中保存了Host内存地址;反之,内存地址为nullptr。
* @param ir_index IR原型定义中的index
* @return tensor指针,index非法,或该INPUT没有实例化时,返回空指针
*/
const Tensor *GetOptionalInputTensor(const size_t ir_index) const {
return GetDynamicInputPointer<Tensor>(ir_index, 0);
}
* 基于算子IR原型定义,获取`OPTIONAL_INPUT`类型的输入shape指针
* @param ir_index IR原型定义中的index
* @return shape指针,index非法,或该INPUT没有实例化时,返回空指针
*/
const Shape *GetOptionalInputShape(const size_t ir_index) const {
return GetDynamicInputPointer<Shape>(ir_index, 0);
}
* 基于算子IR原型定义,获取`DYNAMIC_INPUT`类型的输入shape指针
* @param ir_index IR原型定义中的index
* @param relative_index 该输入实例化后的相对index,例如某个DYNAMIC_INPUT实例化了3个输入,那么relative_index的有效范围是[0,2]
* @return shape指针,index或relative_index非法时,返回空指针
*/
const Shape *GetDynamicInputShape(const size_t ir_index, const size_t relative_index) const {
return GetDynamicInputPointer<Shape>(ir_index, relative_index);
}
* 基于算子IR原型定义,获取`DYNAMIC_INPUT`类型的输入tensor指针
* 若算子被配置为'data'数据依赖,则返回的Tensor对象中保存了Host内存地址;反之,内存地址为nullptr。
* @param ir_index IR原型定义中的index
* @param relative_index 该输入实例化后的相对index,例如某个DYNAMIC_INPUT实例化了3个输入,那么relative_index的有效范围是[0,2]
* @return tensor指针,index或relative_index非法时,返回空指针
*/
const Tensor *GetDynamicInputTensor(const size_t ir_index, const size_t relative_index) const {
return GetDynamicInputPointer<Tensor>(ir_index, relative_index);
}
* 基于算子IR原型定义,获取`REQUIRED_INPUT`类型的输入Tensor指针
* 若算子被配置为'data'数据依赖,则返回的Tensor对象中保存了Host内存地址;反之,内存地址为nullptr。
* @param ir_index IR原型定义中的index
* @return Tensor指针,index非法时,返回空指针
*/
const Tensor *GetRequiredInputTensor(const size_t ir_index) const {
return GetDynamicInputPointer<Tensor>(ir_index, 0);
}
* 基于算子IR原型定义,获取`REQUIRED_INPUT`类型的输入shape指针,shape中包含了原始shape与运行时shape
* @param ir_index IR原型定义中的index
* @return shape指针,index非法,或该INPUT没有实例化时,返回空指针
*/
const Shape *GetRequiredInputShape(const size_t ir_index) const {
return GetDynamicInputPointer<Shape>(ir_index, 0);
}
* 根据输出index,获取输出shape指针
* @param index 输出index
* @return 输出shape指针,index非法时,返回空指针
*/
Shape *GetOutputShape(const size_t index) {
return GetOutputPointer<Shape>(index);
}
};
static_assert(std::is_standard_layout<InferShapeContext>::value, "The class InferShapeContext must be a POD");
}
#endif