COMPMID-439 - Refactored NEQuantizationLayer and NEQuantizationLayer in order to support 3D input tensors
Change-Id: I03eac2108a30bed56d40dfd52e75577a35d492e0
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85783
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
index ab189fe..d91b4ad 100644
--- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
@@ -26,7 +26,7 @@
#include "arm_compute/runtime/IFunction.h"
-#include "arm_compute/core/NEON/kernels/NEMinMaxLocationKernel.h"
+#include "arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h"
#include "arm_compute/runtime/Tensor.h"
@@ -38,7 +38,9 @@
/** Basic function to simulate a quantization layer. This function calls the following NEON kernels:
*
- * -# @ref NEMinMaxKernel
+ * @note The implementation supports only 3D input tensors
+ *
+ * -# @ref NEMinMaxLayerKernel
* -# @ref NEQuantizationLayerKernel
*
*/
@@ -49,8 +51,8 @@
NEQuantizationLayer();
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data types supported: F32
- * @param[out] output Destination tensor. Data types supported: U8
+ * @param[in] input Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: F32
+ * @param[out] output Destination tensor with the same dimensions of input. Data types supported: U8
*/
void configure(const ITensor *input, ITensor *output);
@@ -59,9 +61,8 @@
private:
NEQuantizationLayerKernel _quantize_kernel;
- NEMinMaxKernel _min_max_kernel;
- float _min;
- float _max;
+ NEMinMaxLayerKernel _min_max_kernel;
+ Tensor _min_max;
};
}
#endif /* __ARM_COMPUTE_NEQUANTIZATIONLAYER_H__ */