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
|
/*
* Copyright (c) 2022 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.
*/
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/TensorShape.h"
namespace arm_compute
{
namespace cl_dwc
{
bool use_cl_image_for_weights(const ITensorInfo *weights, unsigned int depth_multiplier)
{
// Check whether we can use the cl image with the weights.
if (!export_to_cl_image(weights))
{
return false;
}
const size_t idx_w = get_data_layout_dimension_index(weights->data_layout(), DataLayoutDimension::WIDTH);
const size_t idx_h = get_data_layout_dimension_index(weights->data_layout(), DataLayoutDimension::HEIGHT);
const size_t kernel_w = weights->tensor_shape()[idx_w];
const size_t kernel_h = weights->tensor_shape()[idx_h];
// If we can use the cl image storage with the weights, we prefer to use the cl buffer storage in the following cases for performance reasons:
// 1- When the kernel size is 1x1
// 2- When the depth multiplier is greater than 1 and not multiple of 4.
if ((kernel_w == 1) && (kernel_h == 1))
{
return false;
}
if ((depth_multiplier > 1) && (depth_multiplier % 4) != 0)
{
return false;
}
return true;
}
} // namespace cl_dwc
} // namespace arm_compute
|
