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authorGeorgios Pinitas <georgios.pinitas@arm.com>2017-11-14 15:32:57 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit30902ed3befd225cb3a6915223d0941949b8d265 (patch)
tree6f701094ae52e8e4dc41b993febbff404e660c82 /arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
parent77f0f879f8a9371e50fb1c5b2b5f7252b839883c (diff)
downloadComputeLibrary-30902ed3befd225cb3a6915223d0941949b8d265.tar.gz
COMPMID-617: Add validation methods to ML CL functions.
Adds validation support to: - CLDirectConvolution - CLNormalizationLayer - CLSoftmaxLayer Change-Id: I9bd1e925e6db057c799169405f82ed21d20b87ee Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95939 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h14
1 files changed, 14 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
index 45fd0c7365..cfb41002cf 100644
--- a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
@@ -54,6 +54,20 @@ public:
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
*/
void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayer
+ *
+ * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
+ * while every optional dimension from 4 and above represent a batch of inputs.
+ * Data types supported: QS8/QASYMM8/QS16/F16/F32.
+ * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
+ * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
+ * @param[in] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
+ * Data types supported: Same as @p input.
+ * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
+ *
+ * @return an error status
+ */
+ static Error validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info);
// Inherited methods overridden:
void run() override;