COMPMID-2650: Add support for QASYMM16 in CLQuantizationLayer
Change-Id: I51dda621975f522a65d770304bed0ff0f30d1235
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1902
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
index d16ae54..ac113d9 100644
--- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
@@ -52,13 +52,15 @@
/** Set the input, output.
*
* @param[in] input Source tensor. Data types supported: F32/F16.
- * @param[out] output Destination tensor with the same dimensions of input. Output data type must be QASYMM8.
+ * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM16.
+ *
+ * @note Output auto initialization is not supported by this kernel
*/
void configure(const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLQuantizationLayerKernel
*
* @param[in] input Input tensor info. Data types supported: F32/F16.
- * @param[in] output Output tensor info. Output data type must be QASYMM8.
+ * @param[in] output Destination tensor info with the same dimensions of input. Data types supported: QASYMM8/QASYMM16.
*
* @return a status
*/
diff --git a/arm_compute/core/utils/quantization/AsymmHelpers.h b/arm_compute/core/utils/quantization/AsymmHelpers.h
index d9f20ce..a0efe12 100644
--- a/arm_compute/core/utils/quantization/AsymmHelpers.h
+++ b/arm_compute/core/utils/quantization/AsymmHelpers.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,6 +25,7 @@
#define __ARM_COMPUTE_QUANTIZATION_ASYMM_HELPERS_H__
#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Types.h"
namespace arm_compute
{
@@ -48,6 +49,11 @@
* @return a status
*/
arm_compute::Status calculate_quantized_multiplier_greater_than_one(float multiplier, int *quantized_multiplier, int *left_shift);
+/** Get minimum and maximum values for the input quantized data type
+ *
+ * @ return min and max values for the quantized data type
+ */
+std::pair<int, int> get_min_max_values_from_quantized_data_type(DataType data_type);
} // namespace quantization
} // namespace arm_compute
#endif /* __ARM_COMPUTE_IO_FILE_HANDLER_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
index 104f8e2..41a03fd 100644
--- a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
@@ -43,13 +43,15 @@
/** Set the input and output tensors.
*
* @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F16/32.
- * @param[out] output Destination tensor with the same dimensions of input. Output data type must be QASYMM8.
+ * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM16.
+ *
+ * @note Output auto initialization is not supported by this function
*/
void configure(const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLQuantizationLayer
*
* @param[in] input Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F16/32.
- * @param[in] output Output tensor info. Output data type must be QASYMM8.
+ * @param[in] output Output tensor info. Data types supported: QASYMM8/QASYMM16.
*
* @return a status
*/