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authorMichele Di Giorgio <michele.digiorgio@arm.com>2019-10-09 15:32:39 +0100
committerMichele Di Giorgio <michele.digiorgio@arm.com>2019-10-30 14:44:46 +0000
commitdf4cf57c7394265b27d051cb1cf0152c53659126 (patch)
tree87da5d6abeff65b2cee55b63f73bb268776af560 /arm_compute/core/utils/quantization/AsymmHelpers.h
parent8b72199f25487040713d1668c998fdde3707413c (diff)
downloadComputeLibrary-df4cf57c7394265b27d051cb1cf0152c53659126.tar.gz
COMPMID-2306: CLDepthwiseConvolution: support for QUANT8_PER_CHANNEL_SYMM
Change-Id: I18c886400daa2dcba0b91011bc4e503d807a4732 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/2143 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/utils/quantization/AsymmHelpers.h')
-rw-r--r--arm_compute/core/utils/quantization/AsymmHelpers.h17
1 files changed, 16 insertions, 1 deletions
diff --git a/arm_compute/core/utils/quantization/AsymmHelpers.h b/arm_compute/core/utils/quantization/AsymmHelpers.h
index bc5b9dbdba..8ec4a331f6 100644
--- a/arm_compute/core/utils/quantization/AsymmHelpers.h
+++ b/arm_compute/core/utils/quantization/AsymmHelpers.h
@@ -25,6 +25,7 @@
#define __ARM_COMPUTE_QUANTIZATION_ASYMM_HELPERS_H__
#include "arm_compute/core/Error.h"
+#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
@@ -60,9 +61,23 @@ Status calculate_quantized_multiplier_less_than_one(float multiplier, int *quant
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
+ * @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);
+/** Compute quantized per-channel multipliers and shifts. As many multipliers
+ * and shifts as output channels are computed. If weights are not quantized
+ * per-channel, multipliers and shifts will end up being the same for each
+ * channel.
+ *
+ * @param[in] input Input tensor.
+ * @param[in] weights Weights tensor.
+ * @param[in] output Output tensor.
+ * @param[out] output_multipliers_ptr Pointer to the buffer where to store per-channel multipliers.
+ * @param[out] output_shifts_ptr Pointer to the buffer where to store per-channel shifts.
+ *
+ * @return min and max values for the quantized data type
+ */
+void compute_quantized_multipliers_and_shifts(const ITensor *input, const ITensor *weights, const ITensor *output, int32_t *output_multipliers_ptr, int32_t *output_shifts_ptr);
} // namespace quantization
} // namespace arm_compute
#endif /* __ARM_COMPUTE_IO_FILE_HANDLER_H__ */