BatchToSpaceND
将输入张量的 batch 维度按 block 因子分解并重排到空间维度,随后根据 crops 参数对输出空间范围进行裁剪。
输入形状:
[batch, height, width, channel]
block_size:[block_h, block_w]
crops:[top, bottom, left, right]
- 输入:
input - 输入数据地址。
input_shape - 输入形状,格式为
[batch, height, width, channel]。block_size - 分块因子,格式为
[block_h, block_w]。crops - 裁剪参数,格式为
[top, bottom, left, right]。core_mask(int, 可选) - 核掩码(仅适用于共享存储版本)。
- 输出:
output - 输出数据地址。
- 支持平台:
FT78NEMT7004备注
FT78NE 支持的数据类型: fp32、fp64、cplx64、cplx128、int16、int8、int32。
MT7004 支持的数据类型: fp32、fp16、cplx64、int16、int32。
共享存储版本:
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void i8_batch_to_space_nd_s(int8_t *input, int8_t *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void i16_batch_to_space_nd_s(int16_t *input, int16_t *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void i32_batch_to_space_nd_s(int32_t *input, int32_t *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void hp_batch_to_space_nd_s(float16 *input, float16 *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void fp_batch_to_space_nd_s(float *input, float *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void dp_batch_to_space_nd_s(double *input, double *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void c64_batch_to_space_nd_s(float *input, float *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
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void c128_batch_to_space_nd_s(double *input, double *output, const int *input_shape, const int *block_size, const int *crops, int core_mask)
C 调用示例:
1// MT7004 示例(共享存储多核,DDR 地址) 2#include <stdio.h> 3 4int main(int argc, char *argv[]) { 5 float *input = (float *)0x81000000; 6 float *output = (float *)0x82000000; 7 int input_shape[4] = {400, 2, 2, 3}; 8 int block_size[2] = {2, 2}; 9 int crops[4] = {0, 0, 0, 0}; 10 int core_mask = 0xff; 11 fp_batch_to_space_nd_s(input, output, input_shape, block_size, crops, core_mask); 12 return 0; 13}
私有存储版本:
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void i8_batch_to_space_nd_p(int8_t *input, int8_t *output, const int *input_shape, const int *block_size, const int *crops)
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void i16_batch_to_space_nd_p(int16_t *input, int16_t *output, const int *input_shape, const int *block_size, const int *crops)
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void i32_batch_to_space_nd_p(int32_t *input, int32_t *output, const int *input_shape, const int *block_size, const int *crops)
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void hp_batch_to_space_nd_p(float16 *input, float16 *output, const int *input_shape, const int *block_size, const int *crops)
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void fp_batch_to_space_nd_p(float *input, float *output, const int *input_shape, const int *block_size, const int *crops)
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void dp_batch_to_space_nd_p(double *input, double *output, const int *input_shape, const int *block_size, const int *crops)
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void c64_batch_to_space_nd_p(float *input, float *output, const int *input_shape, const int *block_size, const int *crops)
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void c128_batch_to_space_nd_p(double *input, double *output, const int *input_shape, const int *block_size, const int *crops)
C 调用示例:
1// MT7004 示例(私有存储单核,AM 地址) 2#include <stdio.h> 3 4int main(int argc, char *argv[]) { 5 float *input = (float *)0x10000000; 6 float *output = (float *)0x10020000; 7 int input_shape[4] = {400, 2, 2, 3}; 8 int block_size[2] = {2, 2}; 9 int crops[4] = {0, 0, 0, 0}; 10 fp_batch_to_space_nd_p(input, output, input_shape, block_size, crops); 11 return 0; 12}