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Diffstat (limited to 'src/armnnCaffeParser/CaffeSupport.md')
| -rw-r--r-- | src/armnnCaffeParser/CaffeSupport.md | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/src/armnnCaffeParser/CaffeSupport.md b/src/armnnCaffeParser/CaffeSupport.md index ab0d3a4ab8..3501a78ae8 100644 --- a/src/armnnCaffeParser/CaffeSupport.md +++ b/src/armnnCaffeParser/CaffeSupport.md @@ -16,8 +16,10 @@ Although some other neural networks might work, Arm tests the Arm NN SDK with Ca The Arm NN SDK supports the following machine learning layers for Caffe networks: +- Argmax, excluding the top_k and out_max_val parameters. - BatchNorm, in inference mode. -- Convolution, excluding the Dilation Size, Weight Filler, Bias Filler, Engine, Force nd_im2col, and Axis parameters. +- Convolution, excluding Weight Filler, Bias Filler, Engine, Force nd_im2col, and Axis parameters. +- Deconvolution, excluding the Dilation Size, Weight Filler, Bias Filler, Engine, Force nd_im2col, and Axis parameters. Caffe doesn't support depthwise convolution, the equivalent layer is implemented through the notion of groups. ArmNN supports groups this way: - when group=1, it is a normal conv2d @@ -35,4 +37,4 @@ The Arm NN SDK supports the following machine learning layers for Caffe networks - Softmax, excluding the Axis and Engine parameters. - Split. -More machine learning layers will be supported in future releases.
\ No newline at end of file +More machine learning layers will be supported in future releases. |