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Merged
nihui merged 5 commits into from
Jul 13, 2026
+50 −30
Merged

skip fp16a gpu test #6820

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a87d5ab
skip fp16a gpu test
nihui Jul 13, 2026
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nihui Jul 13, 2026
89394d8
apply code-format changes
nihui Jul 13, 2026
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nihui Jul 13, 2026
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Merge branch 'ci-test-slim' of https://github.com/nihui/ncnn into ci-…
nihui Jul 13, 2026
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80 changes: 50 additions & 30 deletions tests/testutil.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -926,6 +926,15 @@ int test_layer_gpu(int typeindex, const ncnn::ParamDict& pd, const std::vector<n
// FIXME fp16a may produce large error
opt.use_fp16_arithmetic = false;

// skip test for missed gpu capability
if ((_opt.use_fp16_storage && !opt.use_fp16_storage)
|| (_opt.use_fp16_arithmetic && !opt.use_fp16_arithmetic)
|| (_opt.use_bf16_storage && !opt.use_bf16_storage))
{
delete op;
return 233;
}

if (opt.use_bf16_packed || opt.use_bf16_storage)
{
// winograd produce large error
Expand Down Expand Up @@ -1502,6 +1511,15 @@ int test_layer_gpu(int typeindex, const ncnn::ParamDict& pd, const std::vector<n
// FIXME fp16a may produce large error
opt.use_fp16_arithmetic = false;

// skip test for missed gpu capability
if ((_opt.use_fp16_storage && !opt.use_fp16_storage)
|| (_opt.use_fp16_arithmetic && !opt.use_fp16_arithmetic)
|| (_opt.use_bf16_storage && !opt.use_bf16_storage))
{
delete op;
return 233;
}

if (opt.use_bf16_packed || opt.use_bf16_storage)
{
// winograd produce large error
Expand Down Expand Up @@ -2012,20 +2030,21 @@ int test_layer_opt(const char* layer_type, const ncnn::ParamDict& pd, const std:

int test_layer(const char* layer_type, const ncnn::ParamDict& pd, const std::vector<ncnn::Mat>& weights, const std::vector<ncnn::Mat>& a, int top_blob_count, float epsilon, int flag)
{
// pack fp16p fp16s fp16a bf16p/bf16s flag
const int options[][6] = {
{0, 0, 0, 0, 0, 0},
{0, 0, 1, 0, 0, 0},
{0, 0, 1, 1, 0, 0},
{0, 0, 0, 0, 1, 0},
{1, 0, 0, 0, 0, 0},
// pack fp16p fp16s fp16a bf16p bf16s flag
const int options[][7] = {
{0, 0, 0, 0, 0, 0, 0},
{0, 0, 1, 0, 0, 0, 0},
{0, 0, 1, 1, 0, 0, 0},
{0, 0, 0, 0, 0, 1, 0},
{1, 0, 0, 0, 0, 0, 0},
#if NCNN_VULKAN
{1, 1, 0, 0, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 1, 0, 1, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 1, 0, 0, 0, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 1, 0, 1, 0, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 0, 0, 0, 1, 0, TEST_LAYER_DISABLE_CPU_TESTING},
#endif // NCNN_VULKAN
{1, 0, 1, 0, 0, 0},
{1, 0, 1, 1, 0, 0},
{1, 0, 0, 0, 1, 0},
{1, 0, 1, 0, 0, 0, 0},
{1, 0, 1, 1, 0, 0, 0},
{1, 0, 0, 0, 0, 1, 0},
};

const int opt_count = sizeof(options) / sizeof(options[0]);
Expand All @@ -2039,9 +2058,9 @@ int test_layer(const char* layer_type, const ncnn::ParamDict& pd, const std::vec
opt.use_fp16_storage = options[i][2];
opt.use_fp16_arithmetic = options[i][3];
opt.use_bf16_packed = options[i][4];
opt.use_bf16_storage = options[i][4];
opt.use_bf16_storage = options[i][5];

int ret = test_layer_opt(layer_type, pd, weights, opt, a, top_blob_count, epsilon, flag | options[i][5]);
int ret = test_layer_opt(layer_type, pd, weights, opt, a, top_blob_count, epsilon, flag | options[i][6]);
if (ret != 0)
return ret;
}
Expand All @@ -2051,20 +2070,21 @@ int test_layer(const char* layer_type, const ncnn::ParamDict& pd, const std::vec

int test_layer(const char* layer_type, const ncnn::ParamDict& pd, const std::vector<ncnn::Mat>& weights, const ncnn::Mat& a, float epsilon, int flag)
{
// pack fp16p fp16s fp16a bf16p/bf16s flag
const int options[][6] = {
{0, 0, 0, 0, 0, 0},
{0, 0, 1, 0, 0, 0},
{0, 0, 1, 1, 0, 0},
{0, 0, 0, 0, 1, 0},
{1, 0, 0, 0, 0, 0},
// pack fp16p fp16s fp16a bf16p bf16s flag
const int options[][7] = {
{0, 0, 0, 0, 0, 0, 0},
{0, 0, 1, 0, 0, 0, 0},
{0, 0, 1, 1, 0, 0, 0},
{0, 0, 0, 0, 0, 1, 0},
{1, 0, 0, 0, 0, 0, 0},
#if NCNN_VULKAN
{1, 1, 0, 0, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 1, 0, 1, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 1, 0, 0, 0, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 1, 0, 1, 0, 0, TEST_LAYER_DISABLE_CPU_TESTING},
{1, 0, 0, 0, 1, 0, TEST_LAYER_DISABLE_CPU_TESTING},
#endif // NCNN_VULKAN
{1, 0, 1, 0, 0, 0},
{1, 0, 1, 1, 0, 0},
{1, 0, 0, 0, 1, 0},
{1, 0, 1, 0, 0, 0, 0},
{1, 0, 1, 1, 0, 0, 0},
{1, 0, 0, 0, 0, 1, 0},
};

const int opt_count = sizeof(options) / sizeof(options[0]);
Expand All @@ -2078,9 +2098,9 @@ int test_layer(const char* layer_type, const ncnn::ParamDict& pd, const std::vec
opt.use_fp16_storage = options[i][2];
opt.use_fp16_arithmetic = options[i][3];
opt.use_bf16_packed = options[i][4];
opt.use_bf16_storage = options[i][4];
opt.use_bf16_storage = options[i][5];

int ret = test_layer_opt(layer_type, pd, weights, opt, a, epsilon, flag | options[i][5]);
int ret = test_layer_opt(layer_type, pd, weights, opt, a, epsilon, flag | options[i][6]);
if (ret != 0)
return ret;
}
Expand Down Expand Up @@ -2463,7 +2483,7 @@ int test_layer_oom_opt(const char* layer_type, const ncnn::ParamDict& pd, const

int test_layer_oom(const char* layer_type, const ncnn::ParamDict& pd, const std::vector<ncnn::Mat>& weights, const std::vector<ncnn::Mat>& a, int top_blob_count, int flag)
{
// pack fp16p fp16s fp16a bf16s
// pack fp16p fp16s fp16a bf16p/bf16s
const int options[][5] = {
{0, 0, 0, 0, 0},
{0, 0, 1, 0, 0},
Expand Down Expand Up @@ -2498,7 +2518,7 @@ int test_layer_oom(const char* layer_type, const ncnn::ParamDict& pd, const std:

int test_layer_oom(const char* layer_type, const ncnn::ParamDict& pd, const std::vector<ncnn::Mat>& weights, const ncnn::Mat& a, int flag)
{
// pack fp16p fp16s fp16a bf16s
// pack fp16p fp16s fp16a bf16p/bf16s
const int options[][5] = {
{0, 0, 0, 0, 0},
{0, 0, 1, 0, 0},
Expand Down
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