COMPMID-1365: Add support for NHWC in CLDepthConcatenateLayer
Change-Id: I3ed55bdb95d888aff0b0b76fb841bf1669659308
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/139963
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/arm_compute/runtime/CL/functions/CLDepthConcatenateLayer.h b/arm_compute/runtime/CL/functions/CLDepthConcatenateLayer.h
index d505814..bafce1c 100644
--- a/arm_compute/runtime/CL/functions/CLDepthConcatenateLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDepthConcatenateLayer.h
@@ -52,10 +52,34 @@
CLDepthConcatenateLayer();
/** Initialise the kernel's inputs vector and output.
*
- * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: F16/F32.
+ * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32.
+ * Input dimensions might differ for each input for the first three dimensions (width, height, depth)
+ * and must match for the rest.
+ * Note that the difference between the minimum and maximum width and height among the input tensors
+ * must be divisible by 2 otherwise it is not clear how padding should be added on the inputs' width and
+ * height when they are less than the maximum input sizes.
* @param[out] output Output tensor. Data types supported: Same as @p input.
+ * Output tensor dimensions match the inputs' ones from the fourth dimension and above,
+ * while width and height are the maximum width and height of the input tensors.
+ * Finally, depth is the sum of the input depths.
*/
void configure(std::vector<ICLTensor *> inputs_vector, ICLTensor *output);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLDepthConcatenateLayer
+ *
+ * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32.
+ * Input dimensions might differ for each input for the first three dimensions (width, height, depth)
+ * and must match for the rest.
+ * Note that the difference between the minimum and maximum width and height among the input tensors
+ * must be divisible by 2 otherwise it is not clear how padding should be added on the inputs' width and
+ * height when they are less than the maximum input sizes.
+ * @param[in] output Output tensor. Data types supported: Same as @p input.
+ * Output tensor dimensions match the inputs' ones from the fourth dimension and above,
+ * while width and height are the maximum width and height of the input tensors.
+ * Finally, depth is the sum of the input depths.
+ *
+ * @return a status
+ */
+ static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output);
// Inherited methods overridden:
void run() override;