diff options
author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-02-18 20:08:02 +0000 |
---|---|---|
committer | Giuseppe Rossini <giuseppe.rossini@arm.com> | 2019-03-05 11:44:18 +0000 |
commit | 574775c7fa78a094bbeb7f9f87aca832936884e2 (patch) | |
tree | a405e7a265865acc1348860514de28de2835ce24 /tests/validation/reference/DequantizationLayer.cpp | |
parent | 79fa9a22022824735986f74557bf38095eb2284d (diff) | |
download | ComputeLibrary-574775c7fa78a094bbeb7f9f87aca832936884e2.tar.gz |
COMPMID-1937: Adds support for DequantizationLayer for NEON/CL.
Change-Id: I4b73edd176a277294e0e42e642460bc61210778a
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/744
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Diffstat (limited to 'tests/validation/reference/DequantizationLayer.cpp')
-rw-r--r-- | tests/validation/reference/DequantizationLayer.cpp | 32 |
1 files changed, 10 insertions, 22 deletions
diff --git a/tests/validation/reference/DequantizationLayer.cpp b/tests/validation/reference/DequantizationLayer.cpp index 33096a1d81..df50c14ec7 100644 --- a/tests/validation/reference/DequantizationLayer.cpp +++ b/tests/validation/reference/DequantizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -31,36 +31,24 @@ namespace validation { namespace reference { -template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type> -SimpleTensor<float> dequantization_layer(const SimpleTensor<T> &src, const SimpleTensor<float> &min_max) +template <typename T> +SimpleTensor<T> dequantization_layer(const SimpleTensor<uint8_t> &src) { - // Create reference - SimpleTensor<float> dst{ src.shape(), DataType::F32 }; + const DataType dst_data_type = std::is_same<T, float>::value ? DataType::F32 : DataType::F16; + const QuantizationInfo &quantization_info = src.quantization_info(); - // Compute reference - const int width = src.shape().x(); - const int height = src.shape().y(); - const int depth = src.shape().z(); - const int stride_w = width * height * depth; - const int num_batches = min_max.shape().total_size_upper(1); + SimpleTensor<T> dst{ src.shape(), dst_data_type }; - for(int k = 0; k < num_batches; ++k) + for(int i = 0; i < src.num_elements(); ++i) { - const float min = min_max[k * 2 + 0]; - const float max = min_max[k * 2 + 1]; - const float range = max - min; - const float scaling = range / 255.0f; - - for(int i = 0; i < stride_w; ++i) - { - dst[i + k * stride_w] = (static_cast<float>(src[i + k * stride_w]) * scaling) + min; - } + dst[i] = static_cast<T>(quantization_info.dequantize(src[i])); } return dst; } -template SimpleTensor<float> dequantization_layer(const SimpleTensor<uint8_t> &src, const SimpleTensor<float> &min_max); +template SimpleTensor<half> dequantization_layer(const SimpleTensor<uint8_t> &src); +template SimpleTensor<float> dequantization_layer(const SimpleTensor<uint8_t> &src); } // namespace reference } // namespace validation } // namespace test |