COMPMID-1266 : support for FP16 in CLWinogradConvolutionLayer
Added support for FP16 in CLWinogradConvolutionLayer: 5x5 kernels and 3x3 kernels(COMPMID-937)
Change-Id: I0f394cbdc978dd04176416e9f612aca3986b09e6
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145537
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
index 62f55fa..012ae1b 100644
--- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
@@ -59,7 +59,7 @@
*
* Strides: only unit strides
*
- * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32.
+ * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F16/F32.
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
*/
@@ -77,7 +77,7 @@
*
* Strides: only unit strides
*
- * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32.
+ * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F16/F32.
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
*
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
index 517b348..bc05a0e 100644
--- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
@@ -57,7 +57,7 @@
*
* Strides: only unit strides
*
- * @param[in] input The input tensor to transform. Data types supported: F32
+ * @param[in] input The input tensor to transform. Data types supported: F16/F32
* @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
*/
@@ -75,7 +75,7 @@
*
* Strides: only unit strides
*
- * @param[in] input The input tensor to transform. Data types supported: F32
+ * @param[in] input The input tensor to transform. Data types supported: F16/F32
* @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
*
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
index bab93de..3bbbb58 100644
--- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
@@ -59,7 +59,7 @@
*
* Strides: only unit strides
*
- * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32.
+ * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32.
* @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
@@ -78,7 +78,7 @@
*
* Strides: only unit strides
*
- * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32.
+ * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32.
* @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo