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authorMichalis Spyrou <michalis.spyrou@arm.com>2017-11-30 14:25:57 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:42:17 +0000
commitafa5d817b1d083837cd7ea30d32f845d82620c12 (patch)
tree1ca2a27ab7108b7137b96fc1547a8b5ac5d9c8f7 /arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
parent631c41a4e3645a948b0f597caa77e8fa91ca0efc (diff)
downloadComputeLibrary-afa5d817b1d083837cd7ea30d32f845d82620c12.tar.gz
COMPMID-617 Add validation methods to Kernels
- NEActivationLayer - NESoftmax - NEDirectConvolutionLayer - NENormalizationLayer - NEPoolingLayer Change-Id: Ib279f1c1b7f9247679b0d6593aed7393da8fe87b Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111335 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h28
1 files changed, 28 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
index c3e25181b6..0fecfac15a 100644
--- a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
@@ -43,6 +43,14 @@ public:
* @param[out] output Destination tensor. Data types supported: same as @p input
*/
void configure(const ITensor *input, ITensor *output);
+ /** Static function to check if given info will lead to a valid configuration of @ref NELogits1DMaxKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/F16/F32
+ * @param[in] output Destination tensor. Data types supported: same as @p input
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
@@ -81,6 +89,17 @@ public:
* @param[in] beta (Optional) A scaling factor for the exponent. QS8/QS16 only support a beta value of 1.
*/
void configure(const ITensor *input, const ITensor *max, ITensor *output, ITensor *sum, float beta = 1.0f);
+ /** Static function to check if given info will lead to a valid configuration of @ref NELogits1DShiftExpSumKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/F16/F32
+ * @param[in] max Max values tensor. Data types supported: same as @p input
+ * @param[in] output Destination tensor. Data types supported: same as @p input.
+ * @param[in] sum Sum of 1D logits tensor. Data types supported: same as @p input.
+ * @param[in] beta (Optional) A scaling factor for the exponent. QS8/QS16 only support a beta value of 1.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum, float beta = 1.0f);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
@@ -120,6 +139,15 @@ public:
* @param[out] output Destination tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, const ITensor *sum, ITensor *output);
+ /** Static function to check if given info will lead to a valid configuration of @ref NELogits1DNormKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/S32/F16/F32
+ * @param[in] sum Sum tensor. The number of dimensions should be dim(input)-1. Data types supported: same as @p input.
+ * @param[in] output Destination tensor. Data types supported: same as @p input.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;