---
title: make_shape
description: "创建Shape，用于规定矩阵形状或计算尺寸。"
url: https://www.hikunpeng.com/document/detail/zh/kunpenghpcs/hpckit/devg/KunpengHPCKit_developer_242.html
sourcePath: /source/zh/kunpenghpcs/hpckit/devg/KunpengHPCKit_developer_242.html
indexId: 47a7861c1c377417eeb35758a9fa7d65e46545c4fd2de43e721046e6e4f4b90e67
---
# make_shape

创建Shape，用于规定矩阵形状或计算尺寸。

#### 接口定义

template<typename... Args>

Shape<Args...> make_shape(Args ... args);


#### 参数


**表1 参数定义**

| 参数名 | 类型 | 描述 | 输入/输出 |
| --- | --- | --- | --- |
| args... | Args...，支持任意Int<>类型对象及任意Shape<>类型对象作为输入。 | 用于定义矩阵形状或计算尺寸。对于非峰形矩阵只需输入Int<>类型对象，对于峰形矩阵需要输入Shape<>类型对象进行嵌套描述。 | 输入 |


#### 返回值

返回Shape<Args...>对象。


#### 示例

```
#include "stdlib.h"
#include "kupl_mma.h"
using namespace kupl::tensor;
int main()
{
constexpr int MATRIX_M  = 32;
constexpr int MATRIX_N  = 16;
constexpr int MATRIX_K = 512;
double *data_a = (double *)malloc(sizeof(double) * MATRIX_M * MATRIX_K);
double *data_b = (double *)malloc(sizeof(double) * MATRIX_K * MATRIX_N);
double *data_c = (double *)malloc(sizeof(double) * MATRIX_M * MATRIX_N);
auto shape_a =
make_shape
(Int<32>{}, Int<512>{});
auto shape_b =
make_shape
(Int<512>{}, Int<16>{});
auto shape_c =
make_shape
(Int<32>{}, Int<16>{});
auto stride_a = make_stride(Int<1>{}, Int<32>{});
auto stride_b = make_stride(Int<16>{}, Int<1>{});
auto stride_c = make_stride(Int<16>{}, Int<1>{});
auto layout_a = make_layout(shape_a, stride_a);
auto layout_b = make_layout(shape_b, stride_b);
auto layout_c = make_layout(shape_c, stride_c);
auto mma_atom_shape =
make_shape
(Int<1>{}, Int<1>{}, Int<1>{});
auto tiled_mma = make_tiled_mma(Ops<KP36_32x16x512_F64F64F64>{}, mma_atom_shape);
auto store_atom_shape =
make_shape
(Int<1>{}, Int<1>{});
auto tiled_store = make_tiled_store(Ops<KP36_32x16_F64_STORE>{}, store_atom_shape);
auto tensor_a = make_tensor(data_a, layout_a);
auto tensor_b = make_tensor(data_b, layout_b);
auto tensor_c = make_tensor(data_c, layout_c);
mma(tiled_mma, tensor_c, tensor_a, tensor_b, tensor_c);
store(tiled_store, tensor_c);
free(data_a);
free(data_b);
free(data_c);
return 0;
}
```

上述示例演示了基于32*16*512_F64F64F64矩阵形状的mma流程，其中通过make_shape创建shape，用于规定矩阵形状或计算尺寸。