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authorSadik Armagan <sadik.armagan@arm.com>2020-02-20 16:51:15 +0000
committerSadik Armagan <sadik.armagan@arm.com>2020-02-20 16:51:15 +0000
commitc7983813144f550832cedfbc8fe26ef0b0a7fc5d (patch)
treee5f1c7220072f5be4de7c41c5c7aa5034b46078c /src/armnnTfParser/TensorFlowSupport.md
parent99bf80d31200f848cfc35ff67d31dfb1cacf4c90 (diff)
downloadarmnn-c7983813144f550832cedfbc8fe26ef0b0a7fc5d.tar.gz
IVGCVSW-4432 Update Readme for 20.02
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I416b39b0adac1410f854d3ec5b855044bd85e1cc
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@@ -163,10 +163,14 @@ Arm NN supports split along the channel dimension for data formats NHWC and NCHW
The parser does not support all forms of broadcasting [broadcast composition](https://www.tensorflow.org/performance/xla/broadcasting), only broadcasting of scalars and 1D tensors. See the TensorFlow [subtract documentation](https://www.tensorflow.org/api_docs/python/tf/math/subtract) for more information.
-**stack**
+**pack/stack**
See the TensorFlow [stack documentation](https://www.tensorflow.org/api_docs/python/tf/stack) for more information.
+**strided_slice**
+
+See the TensorFlow [strided_slice documentation](https://www.tensorflow.org/api_docs/python/tf/strided_slice) for more information.
+
## Tested networks
Arm tests these operators with the following TensorFlow fp32 neural networks: