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author | Jan Eilers <jan.eilers@arm.com> | 2021-02-19 09:38:03 +0000 |
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committer | Jan Eilers <jan.eilers@arm.com> | 2021-02-22 08:32:32 +0000 |
commit | 1121c6bf3fc4ff34b6fce2e17a2cda71be185112 (patch) | |
tree | 868a1cc73d7c8ce06da8d97eb1b7260647f7d472 /docs/01_01_parsers.dox | |
parent | 8548e9ccb0b8a5a8780a7d35e5abf19bb13f9dbc (diff) | |
download | armnn-1121c6bf3fc4ff34b6fce2e17a2cda71be185112.tar.gz |
IVGCVSW-5695 Update supported operators
* Update supported operators for the delegate, parsers,
serializer and deserializer
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I33ac99a29d894eec055cd05411014075d78b3168
Diffstat (limited to 'docs/01_01_parsers.dox')
-rw-r--r-- | docs/01_01_parsers.dox | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/docs/01_01_parsers.dox b/docs/01_01_parsers.dox index 025858e13d..ae49303876 100644 --- a/docs/01_01_parsers.dox +++ b/docs/01_01_parsers.dox @@ -127,8 +127,7 @@ The Arm NN SDK ONNX parser currently only supports fp32 operators. ### Partially supported - Conv - - The parser only supports 2D convolutions with a dilation rate of [1, 1] and group = 1 or group = #Nb_of_channel (depthwise convolution) - See the ONNX [Conv documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv) for more information. + - The parser only supports 2D convolutions with a group = 1 or group = #Nb_of_channel (depthwise convolution) - BatchNormalization - The parser does not support training mode. See the ONNX [BatchNormalization documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#BatchNormalization) for more information. - MatMul @@ -179,13 +178,15 @@ The Arm NN SDK TensorFlow Lite parser currently supports the following operators - MAXIMUM - MEAN - MINIMUM -- MU +- MUL - NEG - PACK - PAD - QUANTIZE - RELU - RELU6 +- REDUCE_MAX +- REDUCE_MIN - RESHAPE - RESIZE_BILINEAR - RESIZE_NEAREST_NEIGHBOR @@ -197,6 +198,7 @@ The Arm NN SDK TensorFlow Lite parser currently supports the following operators - SQUEEZE - STRIDED_SLICE - SUB +- SUM - TANH - TRANSPOSE - TRANSPOSE_CONV |