From cece42cb5f1c0793b0b396a9996d8763b8c526bd Mon Sep 17 00:00:00 2001 From: Sheri Zhang Date: Wed, 10 Feb 2021 15:32:38 +0000 Subject: Comply with Trademark rules for use of Neon, Arm and Mali Full trademarks available in README.md Resolves: COMPMID-4257 Signed-off-by: Sheri Zhang Change-Id: Ibfba2adf2eef3449433f467464ebd87d7198474d Signed-off-by: Michele Di Giorgio Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5116 Reviewed-by: Georgios Pinitas Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins --- src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp') diff --git a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp index 2d296f39ea..e623d9dc74 100644 --- a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp @@ -431,7 +431,7 @@ Status NEGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::BFLOAT16, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(weights, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::BFLOAT16, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, weights); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(num_groups > 1, "Grouping (num_groups != 1) is not supported on NEON"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(num_groups > 1, "Grouping (num_groups != 1) is not supported on Neon"); const DataLayout data_layout = input->data_layout(); const DataType data_type = input->data_type(); @@ -523,7 +523,7 @@ Status NEGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI if(!skip_im2col) { // Create tensor info for im2col reshaped inputs - // For NEON the batch size is on the fourth dimension + // For Neon the batch size is on the fourth dimension // TODO (giaiod01): Auto-initialize the output shape of im2col COMPMID-1482 TensorShape shape_im2col = input->tensor_shape(); shape_im2col.set(0, mat_weights_rows); -- cgit v1.2.1