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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
| tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h | |
| parent | 014333d73883c3872e458cedda5ccef586a7ccd4 (diff) | |
| download | ComputeLibrary-7485d5a62685cb745ab50e970adb722cb71557ac.tar.gz | |
COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h index ae384ffa56..a4a55d10f8 100644 --- a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h @@ -54,11 +54,11 @@ public: /** Set the input, weights, biases and output tensors. * * @note: DirectConvolution only works in the following configurations: - * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32 - * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32 + * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 + * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 * - * @param[in, out] input Input tensor. Data types supported: QS8/QS16/F16/F32. + * @param[in, out] input Input tensor. Data types supported: F16/F32. * @param[in] weights Set of kernels to convolve the input volume. * Supported sizes: 1x1, 3x3 and 5x5. * The 3rd dimension must be the same as the input's volume 3rd dimension. @@ -73,11 +73,11 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayer * * @note: DirectConvolution only works in the following configurations: - * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32 - * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32 + * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 + * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 * - * @param[in] input Input tensor. Data types supported: QS8/QS16/F16/F32. + * @param[in] input Input tensor. Data types supported: F16/F32. * @param[in] weights Set of kernels to convolve the input volume. * Supported sizes: 1x1, 3x3 and 5x5. * The 3rd dimension must be the same as the input's volume 3rd dimension. @@ -104,7 +104,6 @@ private: NEActivationLayer _activationlayer_function; Tensor _accumulator; bool _has_bias; - bool _is_fixed_point; bool _is_activationlayer_enabled; unsigned int _dim_split; }; |