diff options
Diffstat (limited to 'tests/validation/Reference.cpp')
| -rw-r--r-- | tests/validation/Reference.cpp | 67 |
1 files changed, 39 insertions, 28 deletions
diff --git a/tests/validation/Reference.cpp b/tests/validation/Reference.cpp index b7553f3b7b..e9ddea78cb 100644 --- a/tests/validation/Reference.cpp +++ b/tests/validation/Reference.cpp @@ -513,39 +513,50 @@ RawTensor Reference::compute_reference_batch_normalization_layer(const TensorSha RawTensor ref_beta(shape1, dt, 1, fixed_point_position); RawTensor ref_gamma(shape1, dt, 1, fixed_point_position); - // Fill tensors with values from -1 to 1. - if(dt == DataType::F32) - { - float min_bound = 0.f; - float max_bound = 0.f; - std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<float>(); - std::uniform_real_distribution<> distribution(min_bound, max_bound); - std::uniform_real_distribution<> distribution_var(0, max_bound); - library->fill(ref_src, distribution, 0); - library->fill(ref_mean, distribution, 1); - library->fill(ref_var, distribution_var, 0); - library->fill(ref_beta, distribution, 3); - library->fill(ref_gamma, distribution, 4); - } - else + // Fill tensors + switch(dt) { - int min_bound = 0; - int max_bound = 0; - if(dt == DataType::QS8) + case DataType::QS8: { - std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position); + const std::pair<int8_t, int8_t> bounds = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position); + std::uniform_int_distribution<> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; } - else + case DataType::QS16: { - std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int16_t>(fixed_point_position); + const std::pair<int16_t, int16_t> bounds = get_batchnormalization_layer_test_bounds<int16_t>(fixed_point_position); + std::uniform_int_distribution<> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + case DataType::F16: + { + const std::pair<half_float::half, half_float::half> bounds = get_batchnormalization_layer_test_bounds<half_float::half>(); + std::uniform_real_distribution<> distribution(bounds.first, bounds.second); + std::uniform_real_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + case DataType::F32: + { + const std::pair<float, float> bounds = get_batchnormalization_layer_test_bounds<float>(); + std::uniform_real_distribution<> distribution(bounds.first, bounds.second); + std::uniform_real_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + default: + { + ARM_COMPUTE_ERROR("Not supported"); + break; } - std::uniform_int_distribution<> distribution(min_bound, max_bound); - std::uniform_int_distribution<> distribution_var(0, max_bound); - library->fill(ref_src, distribution, 0); - library->fill(ref_mean, distribution, 1); - library->fill(ref_var, distribution_var, 0); - library->fill(ref_beta, distribution, 3); - library->fill(ref_gamma, distribution, 4); } // Compute reference |