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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/NEDepthwiseVectorToTensorKernel.h
parentd5c075c4ecdac35cd07538acc559a2d8805d8c1c (diff)
downloadComputeLibrary-8cffcd6b6e4e95f97767f2a25ccc8826dd69c358.tar.gz
COMPMID-1644: NEDepthwiseConvolution for FP16 NHWC
Change-Id: I6e7dee8bd615a5eff01c523f208a218574ee5eab
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h
index 00977a91b4..25af7a29cc 100644
--- a/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h
@@ -56,7 +56,7 @@ public:
NEDepthwiseVectorToTensorKernel &operator=(NEDepthwiseVectorToTensorKernel &&) = default;
/** Set the input and output of the kernel.
*
- * @param[in] input The input vector to convert. Data type supported: QASYMM8/S32/F32.
+ * @param[in] input The input vector to convert. Data type supported: QASYMM8/S32/F16/F32.
* @param[out] output The output tensor. 3 lower dimensions represent a single input [width, height, IFM]. Data type supported: same as @p input.
* @param[in] conv_w The converted tensor's width.
* @param[in] conv_h The converted tensor's height.
@@ -64,7 +64,7 @@ public:
void configure(const ITensor *input, ITensor *output, size_t conv_w, size_t conv_h);
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseVectorToTensorKernel
*
- * @param[in] input The input vector to convert. Data type supported: QASYMM8/S32/F32.
+ * @param[in] input The input vector to convert. Data type supported: QASYMM8/S32/F16/F32.
* @param[in] output The output tensor. 3 lower dimensions represent a single input [width, height, IFM]. Data type supported: same as @p input.
* @param[in] conv_w The converted tensor's width.
* @param[in] conv_h The converted tensor's height.