diff options
Diffstat (limited to 'tests/validation/reference')
| -rw-r--r-- | tests/validation/reference/DeconvolutionLayer.cpp | 11 | ||||
| -rw-r--r-- | tests/validation/reference/DeconvolutionLayer.h | 10 |
2 files changed, 11 insertions, 10 deletions
diff --git a/tests/validation/reference/DeconvolutionLayer.cpp b/tests/validation/reference/DeconvolutionLayer.cpp index 891828533f..afbf063e63 100644 --- a/tests/validation/reference/DeconvolutionLayer.cpp +++ b/tests/validation/reference/DeconvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -24,7 +24,6 @@ #include "ConvolutionLayer.h" #include "tests/validation/Helpers.h" - namespace arm_compute { namespace test @@ -33,8 +32,8 @@ namespace validation { namespace reference { -template <typename T, typename TB> -SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, +template <typename T, typename TW, typename TB> +SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info, QuantizationInfo out_qinfo) { // Create reference @@ -99,7 +98,7 @@ SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTens } // Flip weights by 180 degrees - SimpleTensor<T> weights_flipped{ weights.shape(), weights.data_type(), 1, weights.quantization_info() }; + SimpleTensor<TW> weights_flipped{ weights.shape(), weights.data_type(), 1, weights.quantization_info(), weights.data_layout() }; #if defined(_OPENMP) #pragma omp parallel for #endif /* _OPENMP */ @@ -143,6 +142,8 @@ SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTens template SimpleTensor<uint8_t> deconvolution_layer(const SimpleTensor<uint8_t> &src, const SimpleTensor<uint8_t> &weights, const SimpleTensor<int32_t> &bias, const TensorShape &output_shape, const PadStrideInfo &info, QuantizationInfo out_quant_info); +template SimpleTensor<uint8_t> deconvolution_layer(const SimpleTensor<uint8_t> &src, const SimpleTensor<int8_t> &weights, const SimpleTensor<int32_t> &bias, const TensorShape &output_shape, + const PadStrideInfo &info, QuantizationInfo out_quant_info); template SimpleTensor<int8_t> deconvolution_layer(const SimpleTensor<int8_t> &src, const SimpleTensor<int8_t> &weights, const SimpleTensor<int32_t> &bias, const TensorShape &output_shape, const PadStrideInfo &info, QuantizationInfo out_quant_info); template SimpleTensor<float> deconvolution_layer(const SimpleTensor<float> &src, const SimpleTensor<float> &weights, const SimpleTensor<float> &bias, const TensorShape &output_shape, diff --git a/tests/validation/reference/DeconvolutionLayer.h b/tests/validation/reference/DeconvolutionLayer.h index 07b9a531a7..16f0d9ae59 100644 --- a/tests/validation/reference/DeconvolutionLayer.h +++ b/tests/validation/reference/DeconvolutionLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -39,16 +39,16 @@ namespace reference * * src Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. * Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16. - * weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input. + * weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input, also could be QSYMM8_PER_CHANNEL if input is QASYMM8/QASYMM8_SIGNED. * bias Optional, ignored if NULL. The biases have one dimension. - * Data type supported: Same as @p input, except for input of QASYMM8 and QASYMM8_SIGNED type where biases should be of S32 type + * Data type supported: Same as @p input, except for input of QASYMM8/QASYMM8_SIGNED types where biases should be of S32 type * output_shape Output tensor shape. The output has the same number of dimensions as the @p input. * info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. * a The number of zeros added to right and top edges of the input. * */ -template <typename T, typename TB> -SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info, +template <typename T, typename TW, typename TB> +SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info, QuantizationInfo out_qinfo = QuantizationInfo()); } // namespace reference } // namespace validation |