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-rw-r--r--arm_compute/core/NEON/kernels/NEDepthConcatenateLayerKernel.h (renamed from arm_compute/core/NEON/kernels/NEDepthConcatenateKernel.h)14
-rw-r--r--arm_compute/core/NEON/kernels/NEDepthConvertLayerKernel.h (renamed from arm_compute/core/NEON/kernels/NEDepthConvertKernel.h)12
-rw-r--r--arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h (renamed from arm_compute/core/NEON/kernels/NEDepthwiseConvolution3x3Kernel.h)12
-rw-r--r--arm_compute/core/NEON/kernels/NEL2NormalizeLayerKernel.h (renamed from arm_compute/core/NEON/kernels/NEL2NormalizeKernel.h)14
4 files changed, 26 insertions, 26 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthConcatenateKernel.h b/arm_compute/core/NEON/kernels/NEDepthConcatenateLayerKernel.h
index 784dfc3f5c..6029873f22 100644
--- a/arm_compute/core/NEON/kernels/NEDepthConcatenateKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthConcatenateLayerKernel.h
@@ -34,21 +34,21 @@ class ITensor;
/** Interface for the depth concatenate kernel.
* The input tensor will be concatenated into the output tensor.
*/
-class NEDepthConcatenateKernel : public INEKernel
+class NEDepthConcatenateLayerKernel : public INEKernel
{
public:
/** Default constructor */
- NEDepthConcatenateKernel();
+ NEDepthConcatenateLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthConcatenateKernel(const NEDepthConcatenateKernel &) = delete;
+ NEDepthConcatenateLayerKernel(const NEDepthConcatenateLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthConcatenateKernel &operator=(const NEDepthConcatenateKernel &) = delete;
+ NEDepthConcatenateLayerKernel &operator=(const NEDepthConcatenateLayerKernel &) = delete;
/** Allow instances of this class to be moved */
- NEDepthConcatenateKernel(NEDepthConcatenateKernel &&) = default;
+ NEDepthConcatenateLayerKernel(NEDepthConcatenateLayerKernel &&) = default;
/** Allow instances of this class to be moved */
- NEDepthConcatenateKernel &operator=(NEDepthConcatenateKernel &&) = default;
+ NEDepthConcatenateLayerKernel &operator=(NEDepthConcatenateLayerKernel &&) = default;
/** Default destructor */
- ~NEDepthConcatenateKernel() = default;
+ ~NEDepthConcatenateLayerKernel() = default;
/** Initialise the kernel's inputs and output
*
* @param[in] input Input tensor. Data types supported: QS8/QS16/F16/F32.
diff --git a/arm_compute/core/NEON/kernels/NEDepthConvertKernel.h b/arm_compute/core/NEON/kernels/NEDepthConvertLayerKernel.h
index 332406f239..af51ded87a 100644
--- a/arm_compute/core/NEON/kernels/NEDepthConvertKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthConvertLayerKernel.h
@@ -34,19 +34,19 @@ namespace arm_compute
class ITensor;
/** Depth conversion kernel */
-class NEDepthConvertKernel : public INEKernel
+class NEDepthConvertLayerKernel : public INEKernel
{
public:
/** Default constructor*/
- NEDepthConvertKernel();
+ NEDepthConvertLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthConvertKernel(const NEDepthConvertKernel &) = delete;
+ NEDepthConvertLayerKernel(const NEDepthConvertLayerKernel &) = delete;
/** Default move constructor */
- NEDepthConvertKernel(NEDepthConvertKernel &&) = default;
+ NEDepthConvertLayerKernel(NEDepthConvertLayerKernel &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthConvertKernel &operator=(const NEDepthConvertKernel &) = delete;
+ NEDepthConvertLayerKernel &operator=(const NEDepthConvertLayerKernel &) = delete;
/** Default move assignment operator */
- NEDepthConvertKernel &operator=(NEDepthConvertKernel &&) = default;
+ NEDepthConvertLayerKernel &operator=(NEDepthConvertLayerKernel &&) = default;
/** Set the input and output of the kernel
*
* Valid conversions Input -> Output :
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseConvolution3x3Kernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h
index a32a06b61d..b8f01cb635 100644
--- a/arm_compute/core/NEON/kernels/NEDepthwiseConvolution3x3Kernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h
@@ -32,19 +32,19 @@ class ITensor;
/** Interface for the kernel to run a 3x3 depthwise convolution on a tensor.
*/
-class NEDepthwiseConvolution3x3Kernel : public INEKernel
+class NEDepthwiseConvolutionLayer3x3Kernel : public INEKernel
{
public:
/** Default constructor */
- NEDepthwiseConvolution3x3Kernel();
+ NEDepthwiseConvolutionLayer3x3Kernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthwiseConvolution3x3Kernel(const NEDepthwiseConvolution3x3Kernel &) = delete;
+ NEDepthwiseConvolutionLayer3x3Kernel(const NEDepthwiseConvolutionLayer3x3Kernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthwiseConvolution3x3Kernel &operator=(const NEDepthwiseConvolution3x3Kernel &) = delete;
+ NEDepthwiseConvolutionLayer3x3Kernel &operator=(const NEDepthwiseConvolutionLayer3x3Kernel &) = delete;
/** Default Move Constructor. */
- NEDepthwiseConvolution3x3Kernel(NEDepthwiseConvolution3x3Kernel &&) = default;
+ NEDepthwiseConvolutionLayer3x3Kernel(NEDepthwiseConvolutionLayer3x3Kernel &&) = default;
/** Default move assignment operator. */
- NEDepthwiseConvolution3x3Kernel &operator=(NEDepthwiseConvolution3x3Kernel &&) = default;
+ NEDepthwiseConvolutionLayer3x3Kernel &operator=(NEDepthwiseConvolutionLayer3x3Kernel &&) = default;
/** Initialize the function's source, destination, conv and border_size.
*
* @param[in] input Source tensor. DataType supported: F32.
diff --git a/arm_compute/core/NEON/kernels/NEL2NormalizeKernel.h b/arm_compute/core/NEON/kernels/NEL2NormalizeLayerKernel.h
index fbbe4bee99..7aa5116b68 100644
--- a/arm_compute/core/NEON/kernels/NEL2NormalizeKernel.h
+++ b/arm_compute/core/NEON/kernels/NEL2NormalizeLayerKernel.h
@@ -31,21 +31,21 @@ namespace arm_compute
class ITensor;
/** Interface for performing a L2 normalize on a given axis given the square sum of it in this axis */
-class NEL2NormalizeKernel : public INEKernel
+class NEL2NormalizeLayerKernel : public INEKernel
{
public:
/** Default constructor */
- NEL2NormalizeKernel();
+ NEL2NormalizeLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEL2NormalizeKernel(const NEL2NormalizeKernel &) = delete;
+ NEL2NormalizeLayerKernel(const NEL2NormalizeLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEL2NormalizeKernel &operator=(const NEL2NormalizeKernel &) = delete;
+ NEL2NormalizeLayerKernel &operator=(const NEL2NormalizeLayerKernel &) = delete;
/** Allow instances of this class to be moved */
- NEL2NormalizeKernel(NEL2NormalizeKernel &&) = default;
+ NEL2NormalizeLayerKernel(NEL2NormalizeLayerKernel &&) = default;
/** Allow instances of this class to be moved */
- NEL2NormalizeKernel &operator=(NEL2NormalizeKernel &&) = default;
+ NEL2NormalizeLayerKernel &operator=(NEL2NormalizeLayerKernel &&) = default;
/** Default destructor */
- ~NEL2NormalizeKernel() = default;
+ ~NEL2NormalizeLayerKernel() = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: F32.