Blame - src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl - ml/ComputeLibrary

Michele Di Giorgio

d63dfa2

2018-09-12 10:18:54 +0100

[diff] [blame]

/*

*

* SPDX-License-Identifier: MIT

5

*

6

* Permission is hereby granted, free of charge, to any person obtaining a copy

7

* of this software and associated documentation files (the "Software"), to

8

* deal in the Software without restriction, including without limitation the

9

* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or

10

* sell copies of the Software, and to permit persons to whom the Software is

11

* furnished to do so, subject to the following conditions:

12

*

13

* The above copyright notice and this permission notice shall be included in all

14

* copies or substantial portions of the Software.

15

*

16

* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

17

* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

18

* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

19

* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

20

* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

21

* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

* SOFTWARE.

*/

#include "helpers.h"

#if defined(DATA_TYPE) && defined(VEC_SIZE) && defined(OFFSET) && defined(SCALE)

27

28

#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)

29

#define OFFSET_FLT ((float)OFFSET)

30

#define SCALE_FLT ((float)SCALE)

31

32

#if defined(NUM_CHANNELS)

33

34

/** Apply normalize_planar_yuv layer on tensors with NCHW data layout.

35

*

36

* @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float

37

* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE e.g. -DVEC_SIZE=8

38

* @note The depth of the input tensor should be given as a preprocessor argument using -DNUM_CHANNELS e.g. -DNUM_CHANNELS=8

39

* @note The quantization offset should be given as a preprocessor argument using -DOFFSET e.g. -DOFFSET=8

40

* @note The quantization scale should be given as a preprocessor argument using -DSCALE e.g. -DSCALE=8

41

*

42

* @param[in] src_ptr Pointer to the first source tensor. Supported data types: QASYMM8

43

* @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes)

44

* @param[in] src_step_x input_stride_x * number of elements along X processed per workitem(in bytes)

45

* @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes)

46

* @param[in] src_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)

47

* @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes)

48

* @param[in] src_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)

49

* @param[in] src_offset_first_element_in_bytes The offset of the first element in the first source tensor

50

* @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr

51

* @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)

52

* @param[in] dst_step_x output_stride_x * number of elements along X processed per workitem(in bytes)

53

* @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)

54

* @param[in] dst_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)

55

* @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)

56

* @param[in] dst_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)

57

* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor

58

* @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p src_ptr

59

* @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes)

60

* @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes)

61

* @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor

62

* @param[in] std_ptr Pointer to the std tensor. Supported data types: same as @p src_ptr

63

* @param[in] std_stride_x Stride of the std tensor in X dimension (in bytes)

64

* @param[in] std_step_x std_stride_x * number of elements along X processed per workitem(in bytes)

65

* @param[in] std_offset_first_element_in_bytes The offset of the first element in the var source tensor

66

*/

67

__kernel void normalize_planar_yuv_layer_q8_nchw(TENSOR3D_DECLARATION(src),

68

TENSOR3D_DECLARATION(dst),

69

VECTOR_DECLARATION(mean),

70

VECTOR_DECLARATION(std))

71

{

72

Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);

73

Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);

74

Vector mean = CONVERT_TO_VECTOR_STRUCT(mean);

75

Vector std = CONVERT_TO_VECTOR_STRUCT(std);

76

77

const uint current_slice = get_global_id(2) % NUM_CHANNELS;

78

79

float16 curr_mean_flt = (float16)(*((__global DATA_TYPE *)(mean.ptr + current_slice * sizeof(DATA_TYPE))));

80

curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT;

81

82

float16 curr_std_flt = (float16)(*((__global DATA_TYPE *)(std.ptr + current_slice * sizeof(DATA_TYPE))));

83

curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT;

84

85

float16 data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src.ptr), float16);

86

data_flt = round(data_flt - OFFSET_FLT) * SCALE_FLT;

87

88

// Perform normalization

89

float16 res_flt = (data_flt - curr_mean_flt) / curr_std_flt;

90

91

const TYPE res_u8 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE);

92

VSTORE(VEC_SIZE)

93

(res_u8, 0, (__global DATA_TYPE *)dst.ptr);

94

}

95

96

#endif // defined(NUM_CHANNELS)

97

98

/** Apply normalize_planar_yuv layer on tensors with NHWC data layout.

99

*

100

* @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float

101

* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE e.g. -DVEC_SIZE=8

102

* @note The quantization offset should be given as a preprocessor argument using -DOFFSET e.g. -DOFFSET=8

103

* @note The quantization scale should be given as a preprocessor argument using -DSCALE e.g. -DSCALE=8

104

*

105

* @param[in] src_ptr Pointer to the first source tensor. Supported data types: QASYMM8

106

* @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes)

107

* @param[in] src_step_x input_stride_x * number of elements along X processed per workitem(in bytes)

108

* @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes)

109

* @param[in] src_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)

110

* @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes)

111

* @param[in] src_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)

112

* @param[in] src_offset_first_element_in_bytes The offset of the first element in the first source tensor

113

* @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr

114

* @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)

115

* @param[in] dst_step_x output_stride_x * number of elements along X processed per workitem(in bytes)

116

* @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)

117

* @param[in] dst_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)

118

* @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)

119

* @param[in] dst_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)

120

* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor

121

* @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p src_ptr

122

* @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes)

123

* @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes)

124

* @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor

125

* @param[in] std_ptr Pointer to the std tensor. Supported data types: same as @p src_ptr

126

* @param[in] std_stride_x Stride of the std tensor in X dimension (in bytes)

127

* @param[in] std_step_x std_stride_x * number of elements along X processed per workitem(in bytes)

128

* @param[in] std_offset_first_element_in_bytes The offset of the first element in the var source tensor

129

*/

130

__kernel void normalize_planar_yuv_layer_q8_nhwc(TENSOR3D_DECLARATION(src),

131

TENSOR3D_DECLARATION(dst),

132

VECTOR_DECLARATION(mean),

133

VECTOR_DECLARATION(std))

134

{

135

Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);

136

Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);

137

Vector mean = CONVERT_TO_VECTOR_STRUCT(mean);

138

Vector std = CONVERT_TO_VECTOR_STRUCT(std);

139

140

const uint current_slice = get_global_id(0);

141

142

float16 curr_mean_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(mean.ptr + current_slice * VEC_SIZE * sizeof(DATA_TYPE))), float16);

143

curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT;

144

145

float16 curr_std_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(std.ptr + current_slice * VEC_SIZE * sizeof(DATA_TYPE))), float16);

146

curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT;

147

148

float16 data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src.ptr), float16);

149

data_flt = round(data_flt - OFFSET_FLT) * (SCALE_FLT);

150

151

// Perform normalization

152

float16 res_flt = (data_flt - curr_mean_flt) / curr_std_flt;

153

154

const TYPE res_u8 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE);

155

VSTORE(VEC_SIZE)

156

(res_u8, 0, (__global DATA_TYPE *)dst.ptr);

157

}

158

#endif // defined(DATA_TYPE) && defined(VEC_SIZE) && defined(OFFSET) && defined(SCALE)