diff options
Diffstat (limited to 'tests/validation/fixtures/ReductionOperationFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ReductionOperationFixture.h | 34 |
1 files changed, 20 insertions, 14 deletions
diff --git a/tests/validation/fixtures/ReductionOperationFixture.h b/tests/validation/fixtures/ReductionOperationFixture.h index a93bf49afd..b44f299486 100644 --- a/tests/validation/fixtures/ReductionOperationFixture.h +++ b/tests/validation/fixtures/ReductionOperationFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 ARM Limited. + * Copyright (c) 2017-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class ReductionOperationValidationFixture : public framework::Fixture { public: - template <typename...> void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info, bool keep_dims = false) { const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); @@ -61,24 +60,29 @@ protected: template <typename U> void fill(U &&tensor) { - if(!is_data_type_quantized(tensor.data_type())) + if(tensor.data_type() == DataType::F32) { - std::uniform_real_distribution<> distribution(-1.0f, 1.0f); + std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); library->fill(tensor, distribution, 0); } - else + else if(tensor.data_type() == DataType::F16) + { + arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; + library->fill(tensor, distribution, 0); + } + else if(is_data_type_quantized(tensor.data_type())) { if(tensor.data_type() == DataType::QASYMM8) { std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); - std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<uint32_t> distribution(bounds.first, bounds.second); library->fill(tensor, distribution, 0); } else if(tensor.data_type() == DataType::QASYMM8_SIGNED) { std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f); - std::uniform_int_distribution<int8_t> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<int32_t> distribution(bounds.first, bounds.second); library->fill(tensor, distribution, 0); } @@ -87,6 +91,10 @@ protected: ARM_COMPUTE_ERROR("Not supported"); } } + else + { + library->fill_tensor_uniform(tensor, 0); + } } TensorType compute_target(const TensorShape &src_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info) @@ -99,15 +107,15 @@ protected: FunctionType reduction_func; reduction_func.configure(&src, &dst, axis, op, _keep_dims); - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_ASSERT(src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); // Allocate tensors src.allocator()->allocate(); dst.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); // Fill tensors fill(AccessorType(src)); @@ -126,7 +134,7 @@ protected: // Fill reference fill(src); - return reference::reduction_operation<T, T>(src, dst_shape, axis, op); + return reference::reduction_operation<T, T>(src, dst_shape, axis, op, data_type, quantization_info); } TensorType _target{}; @@ -140,7 +148,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class ReductionOperationQuantizedFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info = QuantizationInfo(), bool keep_dims = false) { ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info, keep_dims); @@ -151,7 +158,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class ReductionOperationFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, bool keep_dims = false) { ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo(), keep_dims); |