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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
index b68cb50c7b..c6e4053293 100644
--- a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
+++ b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
@@ -76,7 +76,7 @@ public:
*
* @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
* and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared.
- * Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/FP16/F32
+ * Data types supported: All
* @param[in] bias The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with
* dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input
* @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.
@@ -87,7 +87,7 @@ public:
*
* @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
* and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared.
- * Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32
+ * Data types supported: All
* @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with
* dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input
* @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.