1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
|
/*
* Copyright (c) 2017-2018 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in;
#include "helpers_cs.h"
#if defined(DATA_TYPE_FP16)
precision mediump float;
#endif /*DATA_TYPE_FP16*/
uint hash(uint x)
{
x += (x << 10u);
x ^= (x >> 6u);
x += (x << 3u);
x ^= (x >> 11u);
x += (x << 15u);
return x;
}
uint hash(uvec3 v)
{
return hash(v.x ^ hash(v.y) ^ hash(v.z));
}
float float_construct(uint m)
{
const uint ieee_mantissa = 0x007FFFFFu;
const uint ieee_one = 0x3F800000u;
m &= ieee_mantissa;
m |= ieee_one;
float f = uintBitsToFloat(m);
return f - 1.0;
}
float rand(vec3 v, float seed)
{
return float_construct(hash(floatBitsToUint(v + seed)));
}
/** Dropout is used to improve over-fit on neural networks.
*
* @note The data type must be passed at compile time using "#define DATA_TYPE_NAME". e.g. "#define DATA_TYPE_FP32"
*
* @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32
* @param[in] src_attrs The attributes of the source tensor
* @param[out] mask_ptr Pointer to the mask tensor. Supported data types: same as @p src_ptr
* @param[in] mask_attrs The attributes of the mask tensor
* @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr
* @param[in] dst_attrs The attributes of the destination tensor
*/
SHADER_PARAMS_DECLARATION
{
Tensor3DAttributes src_attrs;
Tensor3DAttributes mask_attrs;
Tensor3DAttributes dst_attrs;
};
#ifdef DATA_TYPE_FP32
TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly);
TENSOR_DECLARATION(2, maskBuffer, float, mask_ptr, mask_shift, 2, restrict);
TENSOR_DECLARATION(3, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly);
void main(void)
{
Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
Tensor3DIterator mask_iter = CONVERT_TO_TENSOR3D_ITERATOR(mask_attrs, mask_shift);
Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
float random = 0.f;
float inputv = 0.f;
float maskv = 0.f;
float outputv = 0.f;
#ifdef FORWARD
random = rand(vec3(gl_GlobalInvocationID.xyz), SEED);
maskv = (random > RATIO) ? 1.f : 0.f;
STORE_CURRENT_ITEM(mask_ptr, mask_iter, maskv);
#else /* FORWARD */
maskv = LOAD_CURRENT_ITEM(mask_ptr, mask_iter);
#endif /* FORWARD */
inputv = LOAD_CURRENT_ITEM(src_ptr, src_iter);
outputv = maskv * inputv * float(SCALE);
STORE_CURRENT_ITEM(dst_ptr, dst_iter, outputv);
}
#elif defined(DATA_TYPE_FP16)
TENSOR_DECLARATION(1, srcBuffer, uint, src_ptr, src_shift, 2, readonly);
TENSOR_DECLARATION(2, maskBuffer, uint, mask_ptr, mask_shift, 2, restrict);
TENSOR_DECLARATION(3, dstBuffer, uint, dst_ptr, dst_shift, 2, writeonly);
void main(void)
{
Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
Tensor3DIterator mask_iter = CONVERT_TO_TENSOR3D_ITERATOR(mask_attrs, mask_shift);
Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
float random1 = 0.f;
float random2 = 0.f;
vec2 input_vec = vec2(0, 0);
vec2 output_vec = vec2(0, 0);
vec2 mask_vec = vec2(0, 0);
#ifdef FORWARD
random1 = rand(vec3(gl_GlobalInvocationID.xyz), SEED);
random2 = rand(vec3(float(gl_GlobalInvocationID.x) + 0.5f, gl_GlobalInvocationID.yz), SEED);
mask_vec.x = (random1 > RATIO) ? 1.f : 0.f;
mask_vec.y = (random2 > RATIO) ? 1.f : 0.f;
STORE_PACK2_CURRENT_ITEM_HALF(mask_ptr, mask_iter, mask_vec);
#else /* FORWARD */
mask_vec = LOAD_UNPACK2_CURRENT_ITEM_HALF(mask_ptr, mask_iter);
#endif /* FORWARD */
input_vec = LOAD_UNPACK2_CURRENT_ITEM_HALF(src_ptr, src_iter);
output_vec = mask_vec * input_vec * float(SCALE);
STORE_PACK2_CURRENT_ITEM_HALF(dst_ptr, dst_iter, output_vec);
}
#else /* DATA_TYPE_FP32 */
#endif /* DATA_TYPE_FP32 */
|
