COMPMID-2789: Add support for QASYMM8_SIGNED in CLGEMMDeconvolutionLayer
Change-Id: I7e3bcb01025e827f6f62491749c691c205ee7481
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2844
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h
index 3df9205..01687b6 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 @@
* This function calls the following OpenCL kernels/functions:
*
* -# @ref CLGEMMLowpMatrixMultiplyCore
- * -# @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint
+ * -# @ref CLGEMMLowpOutputStage
* -# @ref CLPermute
* -# @ref CLPermute
* -# @ref CLReshapeLayer
@@ -91,7 +91,8 @@
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 @@
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 @@
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;