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-rw-r--r--arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h12
1 files changed, 12 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h b/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
index ddd4b12eca..4614b90c70 100644
--- a/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
@@ -51,6 +51,18 @@ public:
* @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
*/
void configure(ICLTensor *input, ICLTensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true);
+ /** Set the input and output tensors.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
+ * Data types supported: F16/F32. Data layout supported: NHWC, NCHW
+ * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
+ * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
+ * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
+ * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
+ * @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
+ */
+ void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true);
/** Static function to check if given info will lead to a valid configuration of @ref CLInstanceNormalizationLayer.
*