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提交 c30b6983 编写于 作者: H hjchen2
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Update conv unit test

上级 6d9517b1
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Showing with 62 addition and 20 deletion
test/operators/test_conv_op.cpp
浏览文件 @ c30b6983
......@@ -12,6 +12,7 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include <iostream>
#include "../test_helper.h"
#include "../test_include.h"
#include "operators/conv_op.h"
......@@ -209,10 +210,10 @@ int TestConvOp(int in_channels, int in_height, int in_width, int out_channels,
// PADDLE_MOBILE_ENFORCE(std::abs(gap / (output_data[i] + 1e-5)) < 1e-3,
// "output[%d] = %d, output_cmp[%d] = %d", i,
// output_data[i], i, output_cmp_data[i]);
if (std::abs(gap / (output_data[i] + 1e-5)) > 1e-3) {
LOG(kLOG_INFO) << "output_data[" << i << "] = " << output_data[i]
<< ", output_cmp_data[" << i
<< "] = " << output_cmp_data[i];
if (gap > 1e-2 && std::abs(gap / (output_data[i] + 1e-5)) > 1e-3) {
std::cerr << "output_data[" << i << "] = " << output_data[i]
<< ", output_cmp_data[" << i << "] = " << output_cmp_data[i]
<< std::endl;
exit(1);
}
}
......@@ -224,73 +225,114 @@ int TestConvOp(int in_channels, int in_height, int in_width, int out_channels,
int TestAll(const int in_channels, const int in_height, const int in_width,
const int out_channels, const int groups) {
std::cerr << "in_channels=" << in_channels << ", in_height=" << in_height
<< ", in_width=" << in_width << ", out_channels=" << out_channels
<< ", groups=" << groups << std::endl;
// kernel = 3, pad = 0, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=0, stride=1";
std::cerr << "float, kernel=3, pad=0, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 0, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 1, stride = 1
std::cerr << "float, kernel=3, pad=1, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 1, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 2, stride = 1
std::cerr << "float, kernel=3, pad=2, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 2, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 5, stride = 1
std::cerr << "float, kernel=3, pad=5, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 5, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 0, stride = 2
std::cerr << "float, kernel=3, pad=0, stride=2" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 0, 2>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 1, stride = 2
std::cerr << "float, kernel=3, pad=1, stride=2" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 1, 2>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 2, stride = 2
std::cerr << "float, kernel=3, pad=2, stride=2" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 2, 2>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 5, stride = 2
std::cerr << "float, kernel=3, pad=5, stride=2" << std::endl;
paddle_mobile::TestConvOp<float, float, 3, 5, 2>(
in_channels, in_height, in_width, out_channels, groups);
#ifndef __aarch64__
// kernel = 3, pad = 0, stride = 1
std::cerr << "int8, kernel=3, pad=0, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 0, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 1, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=1, stride=1";
std::cerr << "int8, kernel=3, pad=1, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 1, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 2, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=2, stride=1";
std::cerr << "int8, kernel=3, pad=2, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 2, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 5, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=5, stride=1";
std::cerr << "int8, kernel=3, pad=5, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 5, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 0, stride = 2
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=0, stride=2";
std::cerr << "int8, kernel=3, pad=0, stride=2" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 0, 2>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 1, stride = 2
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=1, stride=2";
std::cerr << "int8, kernel=3, pad=1, stride=2" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 1, 2>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 2, stride = 2
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=2, stride=2";
std::cerr << "int8, kernel=3, pad=2, stride=2" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 2, 2>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 3, pad = 5, stride = 2
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=3, pad=5, stride=2";
std::cerr << "int8, kernel=3, pad=5, stride=2" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 3, 5, 2>(
in_channels, in_height, in_width, out_channels, groups);
#endif // __aarch64__
// kernel = 5, pad = 0, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=5, pad=0, stride=1";
std::cerr << "float, kernel=5, pad=0, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 5, 0, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 5, pad = 1, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=5, pad=1, stride=1";
std::cerr << "float, kernel=5, pad=1, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 5, 1, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 5, pad = 2, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=5, pad=2, stride=1";
std::cerr << "float, kernel=5, pad=2, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 5, 2, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 5, pad = 5, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "float, kernel=5, pad=5, stride=1";
std::cerr << "float, kernel=5, pad=5, stride=1" << std::endl;
paddle_mobile::TestConvOp<float, float, 5, 5, 1>(
in_channels, in_height, in_width, out_channels, groups);
#ifndef __aarch64__
// kernel = 5, pad = 0, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "int8, kernel=5, pad=0, stride=1";
std::cerr << "int8, kernel=5, pad=0, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 5, 0, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 5, pad = 1, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "int8, kernel=5, pad=1, stride=1";
std::cerr << "int8, kernel=5, pad=1, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 5, 1, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 5, pad = 2, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "int8, kernel=5, pad=2, stride=1";
std::cerr << "int8, kernel=5, pad=2, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 5, 2, 1>(
in_channels, in_height, in_width, out_channels, groups);
// kernel = 5, pad = 5, stride = 1
LOG(paddle_mobile::kLOG_INFO) << "int8, kernel=5, pad=5, stride=1";
std::cerr << "int8, kernel=5, pad=5, stride=1" << std::endl;
paddle_mobile::TestConvOp<int8_t, int32_t, 5, 5, 1>(
in_channels, in_height, in_width, out_channels, groups);
#endif // __aarch64__
return 0;
}
......
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