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/runtime/CL/functions/CLDequantizationLayer.h b/arm_compute/runtime/CL/functions/CLDequantizationLayer.h
index efd28fc..cf7c576 100644
--- a/arm_compute/runtime/CL/functions/CLDequantizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDequantizationLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,55 +24,33 @@
#ifndef __ARM_COMPUTE_CLDEQUANTIZATIONLAYER_H__
#define __ARM_COMPUTE_CLDEQUANTIZATIONLAYER_H__
-#include "arm_compute/runtime/IFunction.h"
-
-#include "arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h"
-#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
+// Forward declarations
class ICLTensor;
-/** Basic function to simulate a dequantization layer. This function calls the following CL kernels:
- *
- * -# @ref CLDequantizationLayerKernel
- *
- */
-class CLDequantizationLayer : public IFunction
+/** Basic function to run @ref CLDequantizationLayerKernel that dequantizes an input tensor */
+class CLDequantizationLayer : public ICLSimpleFunction
{
public:
- /** Default constructor */
- CLDequantizationLayer();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLDequantizationLayer(const CLDequantizationLayer &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLDequantizationLayer &operator=(const CLDequantizationLayer &) = delete;
/** Set the input and output tensors.
*
- * @param[in] input Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: U8.
- * @param[out] output Destination tensor with the same dimensions of input. Data type 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 with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: QASYMM8.
+ * @param[out] output Destination tensor with the same dimensions of input. Data type 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 CLDequantizationLayer
*
- * @param[in] input Input tensor info. Data types supported: U8.
- * @param[in] output Output tensor info. Data type 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 type supported: F16/F32.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max);
-
- // Inherited methods overridden:
- void run() override;
-
-private:
- CLDequantizationLayerKernel _dequantize_kernel;
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
-}
+} // namespace arm_compute
#endif /* __ARM_COMPUTE_CLDEQUANTIZATIONLAYER_H__ */