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| author | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-05-17 12:35:20 +0100 |
|---|---|---|
| committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-05-20 07:51:02 +0000 |
| commit | 3db1ba9938986e7096184ad22020a71775075d03 (patch) | |
| tree | 5018e5eecc1c1c81277e8a4c37bc0ad76245d95e /arm_compute/runtime/NEON/functions/NEQuantizationLayer.h | |
| parent | 0eb16cfa5ff4484658ba8630a8dea072445dacbd (diff) | |
| download | ComputeLibrary-3db1ba9938986e7096184ad22020a71775075d03.tar.gz | |
COMPMID-2362: Add Quantization Layer to the graph API
Change-Id: I9766ad54e8da1367ba192dfeeccdc879f3729550
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1172
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEQuantizationLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEQuantizationLayer.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h index 9ca199d1ee..5e4b4f754c 100644 --- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h @@ -48,13 +48,13 @@ public: NEQuantizationLayer() = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32 + * @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16. * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8 */ void configure(const ITensor *input, ITensor *output); /** Static function to check if given info will lead to a valid configuration of @ref NEQuantizationLayer * - * @param[in] input Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F32. + * @param[in] input Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16. * @param[in] output Output tensor info. Data types supported: QASYMM8 * * @return a status |