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提交 5145a934 编写于 作者: S Shixiaowei02
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update test

上级 c76c6bd0
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Showing with 13 addition and 13 deletion
paddle/fluid/lite/kernels/arm/conv_compute_test.cc
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...@@ -209,11 +209,11 @@ TEST(conv_arm_int8, int8_int32) { ...@@ -209,11 +209,11 @@ TEST(conv_arm_int8, int8_int32) {
filter_int8.mutable_data<int8_t>(); filter_int8.mutable_data<int8_t>();
for (int i = 0; i < input_int8.dims().production(); for (int i = 0; i < input_int8.dims().production();
i++) { i++) {
input_int8_data[i] = get_rand(-128, 127); input_int8_data[i] = i % 10 * (i % 3 - 1);
} }
for (int i = 0; i < filter_int8.dims().production(); for (int i = 0; i < filter_int8.dims().production();
i++) { i++) {
filter_int8_data[i] = get_rand(-128, 127); filter_int8_data[i] = i % 10 * (i % 3 - 1);
} }
operators::ConvParam param; operators::ConvParam param;
...@@ -237,10 +237,10 @@ TEST(conv_arm_int8, int8_int32) { ...@@ -237,10 +237,10 @@ TEST(conv_arm_int8, int8_int32) {
int8gemm_int32.create(param, &ctx->As<ARMContext>()); int8gemm_int32.create(param, &ctx->As<ARMContext>());
int8gemm_int32.run(param); int8gemm_int32.run(param);
int32_t* output_int32_data = int* output_int32_data =
output_int32.mutable_data<int32_t>(); output_int32.mutable_data<int>();
int32_t* output_int32_ref_data = int* output_int32_ref_data =
output_int32_ref.mutable_data<int32_t>(); output_int32_ref.mutable_data<int>();
for (int i = 0; i < output_int32.dims().production(); for (int i = 0; i < output_int32.dims().production();
i++) { i++) {
...@@ -326,15 +326,15 @@ TEST(conv_arm_int8, int8_fp32) { ...@@ -326,15 +326,15 @@ TEST(conv_arm_int8, int8_fp32) {
for (int i = 0; i < input_fp32.dims().production(); for (int i = 0; i < input_fp32.dims().production();
i++) { i++) {
input_fp32_data[i] = get_rand(-100, 100) / 100.f; input_fp32_data[i] = i % 10 * (i % 3 - 1);
} }
for (int i = 0; i < filter_fp32.dims().production(); for (int i = 0; i < filter_fp32.dims().production();
i++) { i++) {
filter_fp32_data[i] = get_rand(-100, 100) / 100.f; filter_fp32_data[i] = i % 10 * (i % 3 - 1);
} }
for (int i = 0; i < bias_fp32.dims().production(); for (int i = 0; i < bias_fp32.dims().production();
i++) { i++) {
bias_fp32_data[i] = get_rand(-100, 100) / 100.f; bias_fp32_data[i] = i % 10 * (i % 3 - 1);
} }
std::vector<float> in_scale; std::vector<float> in_scale;
...@@ -367,8 +367,8 @@ TEST(conv_arm_int8, int8_fp32) { ...@@ -367,8 +367,8 @@ TEST(conv_arm_int8, int8_fp32) {
param.output = &output_int32_ref; param.output = &output_int32_ref;
conv_compute_ref<int8_t, int>(param); conv_compute_ref<int8_t, int>(param);
int32_t* output_int32_ref_data = int* output_int32_ref_data =
output_int32_ref.mutable_data<int32_t>(); output_int32_ref.mutable_data<int>();
// ============ int8gemm_int32 ============ // ============ int8gemm_int32 ============
param.output = &output_int32; param.output = &output_int32;
...@@ -381,8 +381,8 @@ TEST(conv_arm_int8, int8_fp32) { ...@@ -381,8 +381,8 @@ TEST(conv_arm_int8, int8_fp32) {
int8gemm_int32.create(param, int8gemm_int32.create(param,
&ctx_int32->As<ARMContext>()); &ctx_int32->As<ARMContext>());
int8gemm_int32.run(param); int8gemm_int32.run(param);
int32_t* output_int32_data = int* output_int32_data =
output_int32.mutable_data<int32_t>(); output_int32.mutable_data<int>();
for (int i = 0; i < output_int32.dims().production(); for (int i = 0; i < output_int32.dims().production();
i++) { i++) {
EXPECT_NEAR(output_int32_data[i], EXPECT_NEAR(output_int32_data[i],
......
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