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author | Giorgio Arena <giorgio.arena@arm.com> | 2017-11-30 15:08:38 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:42:33 +0000 |
commit | 7c23ad01c028f73aef0b439fc5d5d14e92e5f4e2 (patch) | |
tree | b6649124c552bafe3b9bfb8f62e6536f27215173 /arm_compute/runtime/NEON/functions | |
parent | 926d5e17d073cf7f0999d4ab4ce4f79f5391abb8 (diff) | |
download | ComputeLibrary-7c23ad01c028f73aef0b439fc5d5d14e92e5f4e2.tar.gz |
COMPMID-617 Add validation to NEConvolutionLayer
Change-Id: I796a13e6ea672e274aaa8234ee0689828fec7292
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111348
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Ioan-Cristian Szabo <ioan-cristian.szabo@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEConvolutionLayer.h | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h index 893dfa0f9d..a79f21f3ac 100644 --- a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h @@ -62,6 +62,17 @@ public: * Data types supported: Same as @p weights. */ void configure(const ITensor *weights, const ITensor *biases, ITensor *output, bool transpose1xW); + /** Static function to check if given info will lead to a valid configuration of @ref NEConvolutionLayerReshapeWeights + * + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: QS8/QS16/F16/F32. + * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. + * @param[in] output Destination tensor. Data types supported: Same as @p weights. + * @param[in] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise. + * Data types supported: Same as @p weights. + * + * @return an error status + */ + static Status validate(const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, bool transpose1xW); // Inherited methods overridden: void run() override; @@ -101,6 +112,23 @@ public: * tensor has also been transposed with NEGEMMTranspose1xWKernel. Data type supported: Same as @p input. */ void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo()); + /** Static function to check if given info will lead to a valid configuration of @ref NEConvolutionLayer + * + * @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/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. + * @param[in] weights_info Specifies if the weights tensor has been reshaped with NEWeightsReshapeKernel. If this is not part of the fully connected layer the weights + * tensor has also been transposed with NEGEMMTranspose1xWKernel. Data type supported: Same as @p input. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo()); // Inherited methods overridden: void run() override; |