diff options
Diffstat (limited to 'tests/validation/fixtures/Pooling3dLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/Pooling3dLayerFixture.h | 37 |
1 files changed, 25 insertions, 12 deletions
diff --git a/tests/validation/fixtures/Pooling3dLayerFixture.h b/tests/validation/fixtures/Pooling3dLayerFixture.h index c1b3519e80..563f1dcced 100644 --- a/tests/validation/fixtures/Pooling3dLayerFixture.h +++ b/tests/validation/fixtures/Pooling3dLayerFixture.h @@ -46,10 +46,10 @@ class Pooling3dLayerValidationGenericFixture : public framework::Fixture { public: template <typename...> - void setup(TensorShape shape, Pooling3dLayerInfo pool_info, DataType data_type) + void setup(TensorShape shape, Pooling3dLayerInfo pool_info, DataType data_type, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo()) { - _target = compute_target(shape, pool_info, data_type); - _reference = compute_reference(shape, pool_info, data_type); + _target = compute_target(shape, pool_info, data_type, input_qinfo, output_qinfo); + _reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo); } protected: @@ -68,17 +68,17 @@ protected: } else // data type is quantized_asymmetric { - ARM_COMPUTE_ERROR("Passed Type Not Supported"); + library->fill_tensor_uniform(tensor, 0); } } TensorType compute_target(TensorShape shape, Pooling3dLayerInfo info, - DataType data_type) + DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) { // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), DataLayout::NDHWC); + TensorType src = create_tensor<TensorType>(shape, data_type, 1, input_qinfo, DataLayout::NDHWC); const TensorShape dst_shape = misc::shape_calculator::compute_pool3d_shape((src.info()->tensor_shape()), info); - TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, QuantizationInfo(), DataLayout::NDHWC); + TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, DataLayout::NDHWC); // Create and configure function FunctionType pool_layer; @@ -103,17 +103,17 @@ protected: return dst; } - SimpleTensor<T> compute_reference(TensorShape shape, Pooling3dLayerInfo info, DataType data_type) + SimpleTensor<T> compute_reference(TensorShape shape, Pooling3dLayerInfo info, DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) { // Create reference - SimpleTensor<T> src(shape, data_type, 1, QuantizationInfo(), DataLayout::NDHWC); + SimpleTensor<T> src(shape, data_type, 1, input_qinfo, DataLayout::NDHWC); // Fill reference fill(src); - return reference::pooling_3d_layer<T>(src, info); + return reference::pooling_3d_layer<T>(src, info, output_qinfo); } - TensorType _target{}; - SimpleTensor<T> _reference{}; + TensorType _target{}; + SimpleTensor<T> _reference{}; }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> @@ -129,6 +129,19 @@ public: }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class Pooling3dLayerValidationQuantizedFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type, + QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo()) + { + Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding), + data_type, input_qinfo, output_qinfo); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> class Pooling3dLayerGlobalValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: |