COMPMID-1937: Adds support for DequantizationLayer for NEON/CL.
Change-Id: I4b73edd176a277294e0e42e642460bc61210778a
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/744
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
diff --git a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h
index 25fd337..3dfb19b 100644
--- a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -30,11 +30,7 @@
{
class ICLTensor;
-/** Interface for the dequantization layer kernel.
- *
- * @note The implementation supports only 3D input tensors.
- *
- */
+/** Interface for the dequantization layer kernel. */
class CLDequantizationLayerKernel : public ICLKernel
{
public:
@@ -52,22 +48,18 @@
~CLDequantizationLayerKernel() = default;
/** Set the input, output, min and max.
*
- * @param[in] input Source tensor. Data types supported: U8.
- * @param[out] output Destination tensor. Data types supported: F32.
- * @param[in] min_max Pointer to the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor.
- * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32.
+ * @param[in] input Source tensor. Data types supported: QASYMM8.
+ * @param[out] output Destination tensor. Data types supported: F16/F32.
*/
- void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *min_max);
+ void configure(const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLDequantizationLayerKernel
*
- * @param[in] input Input tensor info. Data types supported: U8.
- * @param[in] output Output tensor info. Data types supported: F32.
- * @param[in] min_max Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor.
- * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32.
+ * @param[in] input Input tensor info. Data types supported: QASYMM8.
+ * @param[in] output Output tensor info. Data types supported: F16/F32.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
@@ -75,7 +67,6 @@
private:
const ICLTensor *_input;
ICLTensor *_output;
- const ICLTensor *_min_max;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLDEQUANTIZATIONLAYERKERNEL_H__ */