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| 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 /arm_compute/core/CL | |
| 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 'arm_compute/core/CL')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h | 25 |
1 files changed, 8 insertions, 17 deletions
diff --git a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h index 25fd3378cb..3dfb19b306 100644 --- a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -30,11 +30,7 @@ namespace arm_compute { class ICLTensor; -/** Interface for the dequantization layer kernel. - * - * @note The implementation supports only 3D input tensors. - * - */ +/** Interface for the dequantization layer kernel. */ class CLDequantizationLayerKernel : public ICLKernel { public: @@ -52,22 +48,18 @@ public: ~CLDequantizationLayerKernel() = default; /** Set the input, output, min and max. * - * @param[in] input Source tensor. Data types supported: U8. - * @param[out] output Destination tensor. Data types supported: F32. - * @param[in] min_max Pointer to the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. - * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. + * @param[in] input Source tensor. Data types supported: QASYMM8. + * @param[out] output Destination tensor. Data types supported: F16/F32. */ - void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *min_max); + void configure(const ICLTensor *input, ICLTensor *output); /** Static function to check if given info will lead to a valid configuration of @ref CLDequantizationLayerKernel * - * @param[in] input Input tensor info. Data types supported: U8. - * @param[in] output Output tensor info. Data types supported: F32. - * @param[in] min_max Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. - * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. + * @param[in] input Input tensor info. Data types supported: QASYMM8. + * @param[in] output Output tensor info. Data types supported: F16/F32. * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max); + static Status validate(const ITensorInfo *input, const ITensorInfo *output); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; @@ -75,7 +67,6 @@ public: private: const ICLTensor *_input; ICLTensor *_output; - const ICLTensor *_min_max; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_CLDEQUANTIZATIONLAYERKERNEL_H__ */ |