diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h | 28 |
1 files changed, 15 insertions, 13 deletions
diff --git a/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h index 3df9205f48..01687b69ec 100644 --- a/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -68,7 +68,7 @@ class ICLTensor; * This function calls the following OpenCL kernels/functions: * * -# @ref CLGEMMLowpMatrixMultiplyCore - * -# @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint + * -# @ref CLGEMMLowpOutputStage * -# @ref CLPermute * -# @ref CLPermute * -# @ref CLReshapeLayer @@ -91,7 +91,8 @@ public: CLGEMMDeconvolutionLayer &operator=(CLGEMMDeconvolutionLayer &&) = default; /** Set the input, weights, biases and output tensors. * - * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layout supported: NHWC + * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. + * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. Data layout supported: NHWC * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. Data layout supported: same as @p input. * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. Data layout supported: same as @p input. * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. Data layout supported: same as @p input. @@ -100,7 +101,8 @@ public: void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info); /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer * - * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layout supported: NHWC + * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. + * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. Data layout supported: NHWC * @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. Data layout supported: same as @p input. * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. Data layout supported: same as @p input. * @param[in] output Output tensor info. The output has the same number of dimensions as the @p input. Data layout supported: same as @p input. @@ -117,15 +119,15 @@ public: private: MemoryGroup _memory_group; - CLGEMM _mm_gemm; - CLGEMMLowpMatrixMultiplyCore _mm_gemmlowp; - CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint _gemmlowp_output_stage; - CLPermute _permute_input_to_nhwc; - CLPermute _permute_weights_to_nhwc; - CLReshapeLayer _reshape_weights; - CLTranspose _transpose_weights; - CLDeconvolutionReshapeOutputKernel _deconv_reshape; - CLSlice _slice_gemm; + CLGEMM _mm_gemm; + CLGEMMLowpMatrixMultiplyCore _mm_gemmlowp; + CLGEMMLowpOutputStage _gemmlowp_output_stage; + CLPermute _permute_input_to_nhwc; + CLPermute _permute_weights_to_nhwc; + CLReshapeLayer _reshape_weights; + CLTranspose _transpose_weights; + CLDeconvolutionReshapeOutputKernel _deconv_reshape; + CLSlice _slice_gemm; CLTensor _gemmlowp_final; CLTensor _reshaped_weights; |