diff --git a/orttraining/orttraining/test/training_api/core/checkpoint_test.cc b/orttraining/orttraining/test/training_api/core/checkpoint_test.cc index 4416f75724..9786a1f8c5 100644 --- a/orttraining/orttraining/test/training_api/core/checkpoint_test.cc +++ b/orttraining/orttraining/test/training_api/core/checkpoint_test.cc @@ -206,7 +206,7 @@ TEST(CheckpointApiTest, SaveOptimizerStateAsCheckpoint_ThenLoad_CUDA) { auto optim_uri = "testdata/training_api/adamw.onnx"; // Generate randomized weight values using synthetic data generator. - const int64_t fc2_weight_dim_in = 10, fc2_weight_dim_out = 500, fc1_weight_dim_in = 500, fc1_weight_dim_out = 784; + constexpr int64_t fc2_weight_dim_in = 10, fc2_weight_dim_out = 500, fc1_weight_dim_in = 500, fc1_weight_dim_out = 784; const std::vector fc1_weight_shape{fc1_weight_dim_in, fc1_weight_dim_out}; const std::vector fc1_bias_shape{fc1_weight_dim_in}; const std::vector fc2_weight_shape{fc2_weight_dim_in, fc2_weight_dim_out}; diff --git a/orttraining/orttraining/test/training_api/core/training_api_tests.cc b/orttraining/orttraining/test/training_api/core/training_api_tests.cc index 2efa8b4bc7..6d99098464 100644 --- a/orttraining/orttraining/test/training_api/core/training_api_tests.cc +++ b/orttraining/orttraining/test/training_api/core/training_api_tests.cc @@ -114,9 +114,9 @@ void TestModuleExport(const std::vector>& pr #if defined(USE_CUDA) -const int64_t total_step_count = 100; -const float initial_lr = 1e-3f; -const int64_t resume_step = total_step_count / 2; +constexpr int64_t total_step_count = 100; +constexpr float initial_lr = 1e-3f; +constexpr int64_t resume_step = total_step_count / 2; void CompareValue(float expected, float output, float rtol = 1e-4, float atol = 1e-5) { ASSERT_NEAR(expected, output, atol);