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authorGeorgios Pinitas <georgios.pinitas@arm.com>2020-03-06 18:12:09 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2020-03-12 12:12:30 +0000
commitc7b183ab741650653289f8ce3bdeb4926521fdbd (patch)
tree991e9f20340c91c288d52d8f9a64a3729e4a40b0 /arm_compute/core/NEON/kernels/NEIm2ColKernel.h
parent6800117df3be825f0ec5c6cc71c4377322f51b99 (diff)
downloadComputeLibrary-c7b183ab741650653289f8ce3bdeb4926521fdbd.tar.gz
COMPMID-3160: Add Bfloat16 support in NEGEMMConvolutionLayer
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I0e449306c138a562ffc1455e76ec44b2fd059d85 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2860 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEIm2ColKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEIm2ColKernel.h6
1 files changed, 4 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h
index 292e941272..1c358b379d 100644
--- a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h
+++ b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h
@@ -77,7 +77,8 @@ 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/QASYMM8_SIGNED/F16/F32
+ * while every optional dimension from 4 and above represent a batch of inputs.
+ * Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32
* Note: QASYMM8 works only for has_bias = false
* @param[out] output The output tensor. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
@@ -91,7 +92,8 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref NEIm2ColKernel
*
* @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/QASYMM8_SIGNED/F16/F32
+ * while every optional dimension from 4 and above represent a batch of inputs.
+ * Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32
* Note: QASYMM8 works only for has_bias = false
* @param[in] output The output tensor. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).