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-rw-r--r--src/runtime/CL/functions/CLDequantizationLayer.cpp13
-rw-r--r--src/runtime/CL/functions/CLQuantizationLayer.cpp16
2 files changed, 27 insertions, 2 deletions
diff --git a/src/runtime/CL/functions/CLDequantizationLayer.cpp b/src/runtime/CL/functions/CLDequantizationLayer.cpp
index 5559d42c7f..6f33b2efa9 100644
--- a/src/runtime/CL/functions/CLDequantizationLayer.cpp
+++ b/src/runtime/CL/functions/CLDequantizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,6 +24,7 @@
#include "arm_compute/runtime/CL/functions/CLDequantizationLayer.h"
+#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
using namespace arm_compute;
@@ -33,8 +34,18 @@ CLDequantizationLayer::CLDequantizationLayer()
{
}
+Status CLDequantizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, min_max);
+ ARM_COMPUTE_RETURN_ON_ERROR(CLDequantizationLayerKernel::validate(input, output, min_max));
+
+ return Status{};
+}
+
void CLDequantizationLayer::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *min_max)
{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, min_max);
+
_dequantize_kernel.configure(input, output, min_max);
}
diff --git a/src/runtime/CL/functions/CLQuantizationLayer.cpp b/src/runtime/CL/functions/CLQuantizationLayer.cpp
index ed1f51c714..a13859cda3 100644
--- a/src/runtime/CL/functions/CLQuantizationLayer.cpp
+++ b/src/runtime/CL/functions/CLQuantizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,6 +24,7 @@
#include "arm_compute/runtime/CL/functions/CLQuantizationLayer.h"
+#include "arm_compute/core/Error.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
using namespace arm_compute;
@@ -33,8 +34,21 @@ CLQuantizationLayer::CLQuantizationLayer()
{
}
+Status CLQuantizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+
+ TensorInfo min_max{ input->num_channels(), input->data_type() };
+ ARM_COMPUTE_RETURN_ON_ERROR(CLMinMaxLayerKernel::validate(input, &min_max));
+ ARM_COMPUTE_RETURN_ON_ERROR(CLQuantizationLayerKernel::validate(input, output, &min_max));
+
+ return Status{};
+}
+
void CLQuantizationLayer::configure(const ICLTensor *input, ICLTensor *output)
{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
// Configure min-max kernel. _min_max tensor will be auto-configured within the kernel.
_min_max_kernel.configure(input, &_min_max);