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-rw-r--r--tests/test-backend-ops.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index b115299c..eff063b2 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -15,19 +15,18 @@
#include <thread>
#include <vector>
-
static void init_tensor_uniform(ggml_tensor * tensor, float min = -1.0f, float max = 1.0f) {
size_t size = ggml_nelements(tensor);
std::vector<float> data(size);
#if 0
- std::default_random_engine generator(rd());
+ static std::default_random_engine generator(1234);
std::uniform_real_distribution<float> distribution(min, max);
for (size_t i = 0; i < size; i++) {
data[i] = distribution(generator);
}
-#endif
+#else
auto init_thread = [&](size_t start, size_t end) {
std::random_device rd;
std::default_random_engine generator(rd());
@@ -49,6 +48,7 @@ static void init_tensor_uniform(ggml_tensor * tensor, float min = -1.0f, float m
for (auto & t : threads) {
t.join();
}
+#endif
if (tensor->type == GGML_TYPE_F32 || tensor->type == GGML_TYPE_I32) {
ggml_backend_tensor_set(tensor, data.data(), 0, size * sizeof(float));
@@ -437,7 +437,7 @@ struct test_case {
double err = nmse(f1.data(), f2.data(), f1.size());
if (err > ud->max_err) {
printf("[%s] NMSE = %f ", ggml_op_desc(t1), err);
- //for (int i = 0; i < f1.size(); i++) {
+ //for (int i = 0; i < (int) f1.size(); i++) {
// printf("%5d %9.6f %9.6f, diff = %9.6f\n", i, f1[i], f2[i], f1[i] - f2[i]);
//}
//printf("\n");