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
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
|
/*
* 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 "src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel.h"
#include "src/gpu/cl/kernels/ClGemmReshapeRhsMatrixKernel.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/Helper.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/GEMMFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
using namespace arm_compute::opencl::kernels;
// Create function for ClGemmReshapeRhsMatrixKernel
using CLGEMMReshapeRHSMatrix = CLSynthetizeOperator<ClGemmReshapeRhsMatrixKernel>;
// Create function for ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel
using CLGEMMMatrixMultiplyReshapedOnlyRhsMMUL = CLSynthetizeOperator<ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel>;
// Fixture for CLGEMMMatrixMultiplyReshapedOnlyRhsMMUL
template <typename T>
using CLGEMMMatrixMultiplyReshapedOnlyRhsMMULFixture = GEMMMatrixMultiplyReshapedOnlyRhsMMULValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshapedOnlyRhsMMUL>;
namespace
{
// *INDENT-OFF*
// clang-format off
RelativeTolerance<float> rel_tolerance_f32(0.001f);
constexpr float abs_tolerance_f32(0.0001f);
RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.001f));
constexpr float abs_tolerance_f16(0.3f);
/** Alpha values to test - Precommit */
const auto a_values = framework::dataset::make("alpha", {1.0f, 0.75f} );
/** Beta values to test - Precommit */
const auto beta_values = framework::dataset::make("beta", {0.0f, -0.75f} );
/** M values to test */
const auto m_values = framework::dataset::make("M", {49});
/** N values to test */
const auto n_values = framework::dataset::make("N", {257});
/** K values to test */
/** The test case requires this to be multiple of 4*/
const auto k_values = framework::dataset::make("K", {192});
/** Batch size values to test */
const auto b_values = framework::dataset::make("batch_size", {1, 2});
/** Activation values to test */
const auto act_values = framework::dataset::make("Activation",
{
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ELU),
});
/** M0 values to test - Precommit */
const auto m0_values_precommit = framework::dataset::make("M0", { 1, 2, 4 });
/** N0 values to test - Precommit */
const auto n0_values_precommit = framework::dataset::make("N0", { 4, 8 });
/** K0 values to test - Precommit */
const auto k0_values_precommit = framework::dataset::make("K0", { 1 });
/** Broadcast bias from vector to matrix */
const auto broadcast_bias_values = framework::dataset::make("broadcast_bias", { false, true } );
} // namespace
TEST_SUITE(CL)
TEST_SUITE(GEMMMatrixMultiplyReshapedOnlyRhsMMUL)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedOnlyRhsMMULFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_precommit),
n0_values_precommit),
k0_values_precommit),
framework::dataset::make("ExportToCLImage", false)),
framework::dataset::make("DataType", DataType::F32)),
a_values),
beta_values),
broadcast_bias_values),
act_values))
{
// Validate output
if(validate_result)
{
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
else
{
ARM_COMPUTE_TEST_INFO("cl_arm_matrix_multiply not supported. TEST skipped");
framework::ARM_COMPUTE_PRINT_INFO();
}
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedOnlyRhsMMULFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_precommit),
n0_values_precommit),
k0_values_precommit),
framework::dataset::make("ExportToCLImage", false)),
framework::dataset::make("DataType", DataType::F16)),
a_values),
beta_values),
broadcast_bias_values),
act_values))
{
// Validate output
if(validate_result)
{
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
}
else
{
ARM_COMPUTE_TEST_INFO("cl_arm_matrix_multiply not supported. TEST skipped");
framework::ARM_COMPUTE_PRINT_INFO();
}
}
TEST_SUITE_END() // FP16
TEST_SUITE(ExportToCLImage)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedOnlyRhsMMULFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_precommit),
n0_values_precommit),
k0_values_precommit),
framework::dataset::make("ExportToCLImage", true)),
framework::dataset::make("DataType", DataType::F32)),
a_values),
beta_values),
broadcast_bias_values),
act_values))
{
// Validate output
if(validate_result)
{
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
else
{
ARM_COMPUTE_TEST_INFO("cl_arm_matrix_multiply not supported. TEST skipped");
framework::ARM_COMPUTE_PRINT_INFO();
}
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedOnlyRhsMMULFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_precommit),
n0_values_precommit),
k0_values_precommit),
framework::dataset::make("ExportToCLImage", true)),
framework::dataset::make("DataType", DataType::F16)),
a_values),
beta_values),
broadcast_bias_values),
act_values))
{
// Validate output
if(validate_result)
{
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
}
else
{
ARM_COMPUTE_TEST_INFO("cl_arm_matrix_multiply not supported. TEST skipped");
framework::ARM_COMPUTE_PRINT_INFO();
}
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // ExportToCLImage
TEST_SUITE_END() // Float
TEST_SUITE_END() // GEMMMatrixMultiplyReshapedOnlyRhsMMUL
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
|
