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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-11-16 17:11:50 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2018-11-19 17:42:58 +0000
commit8cffcd6b6e4e95f97767f2a25ccc8826dd69c358 (patch)
tree339d4053464ef995d24da035595b44155810036d /arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
parentd5c075c4ecdac35cd07538acc559a2d8805d8c1c (diff)
downloadComputeLibrary-8cffcd6b6e4e95f97767f2a25ccc8826dd69c358.tar.gz
COMPMID-1644: NEDepthwiseConvolution for FP16 NHWC
Change-Id: I6e7dee8bd615a5eff01c523f208a218574ee5eab
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
index 0d61d3ea38..de671361d6 100644
--- a/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
@@ -55,7 +55,7 @@ public:
/** Set the input and output of the kernel.
*
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8, F32
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
* @param[out] output The output tensor. First 3 lower dimensions represent a transform of each 3D input,
* while every dimension above 3 represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
@@ -68,7 +68,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseIm2ColKernel
*
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8, F32
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
* @param[in] output The output tensor. First 3 lower dimensions represent a transform of each 3D input,
* while every dimension above 3 represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
@@ -105,5 +105,5 @@ private:
bool _has_bias;
unsigned int _depth_multiplier;
};
-} // arm_compute
+} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEDEPTHWISEIM2COLKERNEL_H__ */