diff options
Diffstat (limited to 'arm_compute/runtime')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLQuantizationLayer.h | 2 | ||||
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEQuantizationLayer.h | 4 |
2 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h index 81dcfad515..104f8e2eb2 100644 --- a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h +++ b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h @@ -42,7 +42,7 @@ class CLQuantizationLayer : public ICLSimpleFunction public: /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16/32. + * @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. */ void configure(const ICLTensor *input, ICLTensor *output); 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 |