From 6e1791b1bfabc81f08d3117939f6eb5264ed4edf Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 2 Dec 2019 19:01:25 +0000 Subject: COMPMID-2764: Add support for QASYMM8_SIGNED in NEConvolutionLayer. Change-Id: I8fbbd2e399f48968337a60147098d04f27c2d1c0 Signed-off-by: Georgios Pinitas Reviewed-on: https://review.mlplatform.org/c/2402 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio Comments-Addressed: Arm Jenkins --- arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) (limited to 'arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h') diff --git a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h index 585c707bb6..d432b731c2 100644 --- a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h +++ b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h @@ -75,7 +75,8 @@ public: /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, - * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/FP16/F32 + * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. + * Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/FP16/F32 * @param[in] bias The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. @@ -85,7 +86,8 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref NEWeightsReshapeKernel * * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, - * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/F16/F32 + * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. + * Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/F16/F32 * @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. -- cgit v1.2.1