diff options
Diffstat (limited to 'tests/validation/fixtures/GEMMLowpFixture.h')
| -rw-r--r-- | tests/validation/fixtures/GEMMLowpFixture.h | 50 |
1 files changed, 11 insertions, 39 deletions
diff --git a/tests/validation/fixtures/GEMMLowpFixture.h b/tests/validation/fixtures/GEMMLowpFixture.h index 7931d8467d..aa4eedb75d 100644 --- a/tests/validation/fixtures/GEMMLowpFixture.h +++ b/tests/validation/fixtures/GEMMLowpFixture.h @@ -97,7 +97,8 @@ TensorType compute_gemmlowp_target(const TensorShape &shape_a, const TensorShape bool accumulate = false, bool dynamic_qinfo = false, DataType data_type_output = DataType::UNKNOWN) { ARM_COMPUTE_ASSERT(is_data_type_quantized_asymmetric(data_type_a)); - // If unknown, set to sensible defaults + ARM_COMPUTE_ASSERT(data_type_a == data_type_b); + // If unknown, set to sensible defaults if (data_type_output == DataType::UNKNOWN) { data_type_output = output_stage.type == GEMMLowpOutputStageType::NONE ? DataType::S32 : data_type_a; } @@ -184,6 +185,7 @@ SimpleTensor<int32_t> compute_gemmlowp_reference(const TensorShape &shape_a, con DataType data_type_a = DataType::QASYMM8, DataType data_type_b = DataType::QASYMM8, const TensorFillInfo& finfo = TensorFillInfo()) { ARM_COMPUTE_ASSERT(is_data_type_quantized_asymmetric(data_type_a)); + ARM_COMPUTE_ASSERT(data_type_a == data_type_b); TensorShape shape_a_to_use = shape_a; if(reinterpret_input_as_3d) { @@ -470,59 +472,29 @@ template <typename TensorType, typename AccessorType, typename FunctionType, boo class GEMMLowpDequantizedMatrixMultiplyValidationFixture : public framework::Fixture { public: - void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset, DataType data_type_a, DataType data_type_b, bool accumulate) + void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset, bool accumulate) { const bool dynamic_qinfo = false; const auto a_qinfo = QuantizationInfo(1.0f / 255, a_offset); const auto b_qinfo = QuantizationInfo(5.0f / 255, b_offset); TensorFillInfo finfo; - _target = compute_target(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, data_type_a, data_type_b, finfo, - accumulate, dynamic_qinfo); - _reference = compute_reference(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, data_type_a, data_type_b, - finfo, accumulate, dynamic_qinfo); + _target = compute_target(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, finfo, accumulate, dynamic_qinfo); + _reference = compute_reference(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, finfo, accumulate, dynamic_qinfo); } protected: - TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_output, const QuantizationInfo& a_qinfo, const QuantizationInfo& b_qinfo, DataType data_type_a, DataType data_type_b, const TensorFillInfo& finfo, const bool accumulate, const bool dynamic_qinfo) + TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_output, const QuantizationInfo& a_qinfo, const QuantizationInfo& b_qinfo, const TensorFillInfo& finfo, const bool accumulate, const bool dynamic_qinfo) { const auto output_qinfo = QuantizationInfo(); - return compute_gemmlowp_target<TensorType, AccessorType, FunctionType, reinterpret_input_as_3d, reinterpret_output_as_3d, int32_t, false, run_twice>(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, output_qinfo, data_type_a, data_type_b, GEMMLowpOutputStageInfo(), false, finfo, accumulate, dynamic_qinfo, DataType::F32); + return compute_gemmlowp_target<TensorType, AccessorType, FunctionType, reinterpret_input_as_3d, reinterpret_output_as_3d, int32_t, false, run_twice>(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, output_qinfo, DataType::QASYMM8_SIGNED, DataType::QASYMM8_SIGNED, GEMMLowpOutputStageInfo(), false, finfo, accumulate, dynamic_qinfo, DataType::F32); } - SimpleTensor<float> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_output, const QuantizationInfo& a_qinfo, const QuantizationInfo& b_qinfo, DataType data_type_a, DataType data_type_b, const TensorFillInfo& finfo, bool accumulate, const bool dynamic_qinfo) + SimpleTensor<float> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_output, const QuantizationInfo& a_qinfo, const QuantizationInfo& b_qinfo, const TensorFillInfo& finfo, bool accumulate, const bool dynamic_qinfo) { QuantizationInfo s32_ref_output_quant_info = QuantizationInfo(a_qinfo.uniform().scale * b_qinfo.uniform().scale, 0, dynamic_qinfo); - SimpleTensor<int32_t> s32_ref_output; - if (data_type_a == DataType::QASYMM8) - { - if (data_type_b == DataType::QASYMM8) - { - s32_ref_output = compute_gemmlowp_reference<reinterpret_input_as_3d, uint8_t, uint8_t, false, false, run_twice>( - shape_a, shape_b, shape_output, a_qinfo, b_qinfo, data_type_a, data_type_b, finfo); - } - else - { - ARM_COMPUTE_ERROR_ON(data_type_b != DataType::QASYMM8_SIGNED); - s32_ref_output = compute_gemmlowp_reference<reinterpret_input_as_3d, uint8_t, int8_t, false, false, run_twice>( - shape_a, shape_b, shape_output, a_qinfo, b_qinfo, data_type_a, data_type_b, finfo); - } - } - else - { - ARM_COMPUTE_ERROR_ON(data_type_a != DataType::QASYMM8_SIGNED); - if (data_type_b == DataType::QASYMM8) - { - ARM_COMPUTE_ERROR("QASYMM8_SIGNED input with QASYMM8 weights not supported"); - } - else - { - ARM_COMPUTE_ERROR_ON(data_type_b != DataType::QASYMM8_SIGNED); - s32_ref_output = compute_gemmlowp_reference<reinterpret_input_as_3d, int8_t, int8_t, false, false, run_twice>( - shape_a, shape_b, shape_output, a_qinfo, b_qinfo, data_type_a, data_type_b, finfo); - } - } - + SimpleTensor<int32_t> s32_ref_output = compute_gemmlowp_reference<reinterpret_input_as_3d, int8_t, int8_t, false, false, run_twice>(shape_a, shape_b, shape_output, a_qinfo, b_qinfo, + DataType::QASYMM8_SIGNED, DataType::QASYMM8_SIGNED, finfo); s32_ref_output.quantization_info(s32_ref_output_quant_info); SimpleTensor<float> f32_ref_output(s32_ref_output.shape(), DataType::F32); |