Create Release 1.7.0 (#817)

Signed-off-by: Winnie Tsang <wtsang@us.ibm.com>

.travis.yml

@@ -18,8 +18,8 @@ cache: pip
 # at the time of the ONNX-TensorFlow release.
 
 env:
-  - ONNX_PIP=onnx==1.6.0 TF_PIP=tensorflow==2.0.2 TFA_PIP=tensorflow-addons==0.6.0
   - ONNX_PIP=onnx==1.7.0 TF_PIP=tensorflow-cpu==2.3.1 TFA_PIP=tensorflow-addons==0.11.2
+  - ONNX_PIP=onnx==1.8.0 TF_PIP=tensorflow-cpu==2.3.1 TFA_PIP=tensorflow-addons==0.11.2
   - ONNX_PIP=git+https://github.com/onnx/onnx.git@master TF_PIP=tensorflow-cpu TFA_PIP=tensorflow-addons
 
 jobs:

ONNX_VERSION_NUMBER

@@ -1 +1 @@
-1.6.0
+1.7.0

README.md

@@ -1,13 +1,13 @@
 # Tensorflow Backend for ONNX
-[![Build Status](https://travis-ci.org/onnx/onnx-tensorflow.svg?branch=master)](https://travis-ci.org/onnx/onnx-tensorflow)
+[![Build Status](https://travis-ci.com/onnx/onnx-tensorflow.svg?branch=master)](https://travis-ci.com/github/onnx/onnx-tensorflow)
 
 ## To convert models from ONNX to Tensorflow:
 
 ### Use CLI:
 
 [Command Line Interface Documentation](https://github.com/onnx/onnx-tensorflow/blob/master/doc/CLI.md)
 
-From ONNX to Tensorflow: `onnx-tf convert -i /path/to/input.onnx -o /path/to/output.pb`
+From ONNX to Tensorflow: `onnx-tf convert -i /path/to/input.onnx -o /path/to/output`
 
 ### Convert programmatically:
 
@@ -34,9 +34,14 @@ ONNX-TF requires ONNX (Open Neural Network Exchange) as an external dependency,
 
 The specific ONNX release version that we support in the master branch of ONNX-TF can be found [here](https://github.com/onnx/onnx-tensorflow/blob/master/ONNX_VERSION_NUMBER). This information about ONNX version requirement is automatically encoded in `setup.py`, therefore users needn't worry about ONNX version requirement when installing ONNX-TF.
 
-To install the latest version of ONNX-TF via pip, run `pip install onnx-tf`.
+As of November 24, 2020, we are unable to publish release 1.7.0 to PyPi due to problem described in issue #738.\
+Once the issue is resolved you should install the latest version of ONNX-TF via pip, by running `pip install onnx-tf`\
+In the mean time please get release 1.7.0 by running the following commands to checkout v1.7.0 tag and install it from source via pip.\
+`git clone https://github.com/onnx/onnx-tensorflow.git && cd onnx-tensorflow`\
+`git checkout v1.7.0`\
+`pip install -e .`
 
-Because users often have their own preferences for which variant of Tensorflow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of Tensorflow is available to ONNX-TF. Moreover, we require Tensorflow version == 2.2.0.
+Because users often have their own preferences for which variant of Tensorflow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of Tensorflow is available to ONNX-TF. Moreover, we require Tensorflow version == 2.3.1.
 
 ## Development:
 
@@ -48,7 +53,7 @@ Because users often have their own preferences for which variant of Tensorflow t
 
 ### Installation:
 - Install ONNX master branch from source. 
-- Install Tensorflow >= 2.2.0 and tensorflow-addons. (Note for Tensorflow 1.x please refer the [tf-1.x branch](https://github.com/onnx/onnx-tensorflow/tree/tf-1.x))
+- Install Tensorflow >= 2.3.1 and tensorflow-addons. (Note for Tensorflow 1.x please refer the [tf-1.x branch](https://github.com/onnx/onnx-tensorflow/tree/tf-1.x))
 - Run `git clone https://github.com/onnx/onnx-tensorflow.git && cd onnx-tensorflow`.
 - Run `pip install -e .`.
 
@@ -79,16 +84,5 @@ http://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html
 To perfom unit tests, run `python -m unittest discover test`.
 Testing requires significant hardware resources, but nonetheless, we highly recommend that users run through the complete test suite before deploying onnx-tf. The complete test suite typically takes between 15 and 45 minutes to complete, depending on hardware configurations.
 
-PS. Please ensure your code is backward compatible with older version of ONNX. You can easily test it by running the following [docker container](https://hub.docker.com/r/winnietsang/onnx-tensorflow) with your code. If you don't have Docker installed yet, please follow this link to install [Docker](https://docs.docker.com/install/) on your environment.
-```
-sudo docker pull winnietsang/onnx-tensorflow:onnx1.7.0-tf2.2
-sudo docker run -it --name=YOUR-CONTAINER-NAME winnietsang/onnx-tensorflow:onnx1.7.0-tf2.2 /bin/bash
-git clone https://github.com/YOUR-USERNAME/onnx-tensorflow.git
-cd onnx-tensorflow
-git checkout -b YOUR-BRANCH --track remotes/origin/YOUR-BRANCH
-pip3 install -e .
-python3 -m unittest discover test
-```
-
 #### Test Help:
 https://docs.python.org/2/library/unittest.html

VERSION_NUMBER

@@ -1 +1 @@
-1.6.0
+1.7.0

Versioning.md

@@ -8,3 +8,4 @@ ONNX-TensorFlow version|ONNX version|TensorFlow version
 1.3.0|1.3.0 (opset 8)|1.13.1
 1.5.0|1.5.0 (opset 10)|1.15.0
 1.6.0|1.6.0 (opset 11)|2.2.0
+1.7.0|1.7.0 (opset 12)|2.3.1

doc/support_status.md

@@ -1,7 +1,7 @@
 # ONNX-Tensorflow Support Status
 |||
 |-:|:-|
-|ONNX-Tensorflow Version|Master ( commit id: fb3b6758903516d80ad4cc506bc4f589be8a7231 )|
+|ONNX-Tensorflow Version|Master ( commit id: 9871ba020edac2d7122b38391c9f3a0a906a148d )|
 |ONNX Version|Master ( commit id: 274e8b54e4c11c40a8c0a89599196f5311088b64 )|
 |Tensorflow Version|v2.3.1|
 

doc/support_status_v1_7_0.md

@@ -0,0 +1,207 @@
+# ONNX-Tensorflow Support Status
+|||
+|-:|:-|
+|ONNX-Tensorflow Version|v1.7.0|
+|ONNX Version|1.7.0|
+|Tensorflow Version|v2.3.1|
+
+Notes:
+* Values that are new or updated from a previous opset version are in bold.
+* -: not defined in corresponding ONNX opset version
+* \*: the operator is deprecated
+* :small_red_triangle:: not supported yet
+* :small_orange_diamond:: partially supported
+* the rest are all supported
+
+|||||||||||||||
+|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
+|**ONNX Operator**|**Opset 1**|**Opset 2**|**Opset 3**|**Opset 4**|**Opset 5**|**Opset 6**|**Opset 7**|**Opset 8**|**Opset 9**|**Opset 10**|**Opset 11**|**Opset 12**|**ONNX Operator**|
+|Abs|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Abs|
+|Acos|-|-|-|-|-|-|**7**|7|7|7|7|7|Acos|
+|Acosh|-|-|-|-|-|-|-|-|**9**|9|9|9|Acosh|
+|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|Add|
+|And|**1**|1|1|1|1|1|**7**|7|7|7|7|7|And|
+|ArgMax|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|ArgMax|
+|ArgMin|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|ArgMin|
+|Asin|-|-|-|-|-|-|**7**|7|7|7|7|7|Asin|
+|Asinh|-|-|-|-|-|-|-|-|**9**|9|9|9|Asinh|
+|Atan|-|-|-|-|-|-|**7**|7|7|7|7|7|Atan|
+|Atanh|-|-|-|-|-|-|-|-|**9**|9|9|9|Atanh|
+|AveragePool|**1**|1|1|1|1|1|**7**|7|7|**10**|**11**|11|AveragePool|
+|BatchNormalization|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|9|BatchNormalization|
+|BitShift|-|-|-|-|-|-|-|-|-|-|**11**|11|BitShift|
+|Cast|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**6**:small_orange_diamond:|6:small_orange_diamond:|6:small_orange_diamond:|**9**:small_orange_diamond:|9:small_orange_diamond:|9:small_orange_diamond:|9:small_orange_diamond:|Cast|
+|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Ceil|
+|Celu|-|-|-|-|-|-|-|-|-|-|-|**12**|Celu|
+|Clip|**1**|1|1|1|1|**6**|6|6|6|6|**11**|**12**|Clip|
+|Compress|-|-|-|-|-|-|-|-|**9**|9|**11**|11|Compress|
+|Concat|**1**|1|1|**4**|4|4|4|4|4|4|**11**|11|Concat|
+|ConcatFromSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|11:small_orange_diamond:|ConcatFromSequence|
+|Constant|**1**|1|1|1|1|1|1|1|**9**|9|**11**|**12**|Constant|
+|ConstantOfShape|-|-|-|-|-|-|-|-|**9**|9|9|9|ConstantOfShape|
+|Conv|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Conv|
+|ConvInteger|-|-|-|-|-|-|-|-|-|**10**|10|10|ConvInteger|
+|ConvTranspose|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**11**:small_orange_diamond:|11:small_orange_diamond:|ConvTranspose|
+|Cos|-|-|-|-|-|-|**7**|7|7|7|7|7|Cos|
+|Cosh|-|-|-|-|-|-|-|-|**9**|9|9|9|Cosh|
+|CumSum|-|-|-|-|-|-|-|-|-|-|**11**|11|CumSum|
+|DepthToSpace|**1**|1|1|1|1|1|1|1|1|1|**11**|11|DepthToSpace|
+|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|DequantizeLinear|
+|Det|-|-|-|-|-|-|-|-|-|-|**11**|11|Det|
+|Div|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|Div|
+|Dropout|**1**|1|1|1|1|**6**|**7**|7|7|**10**|10|**12**|Dropout|
+|DynamicQuantizeLinear|-|-|-|-|-|-|-|-|-|-|**11**|11|DynamicQuantizeLinear|
+|Einsum|-|-|-|-|-|-|-|-|-|-|-|**12**|Einsum|
+|Elu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Elu|
+|Equal|**1**|1|1|1|1|1|**7**|7|7|7|**11**|11|Equal|
+|Erf|-|-|-|-|-|-|-|-|**9**|9|9|9|Erf|
+|Exp|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Exp|
+|Expand|-|-|-|-|-|-|-|**8**|8|8|8|8|Expand|
+|EyeLike|-|-|-|-|-|-|-|-|**9**|9|9|9|EyeLike|
+|Flatten|**1**|1|1|1|1|1|1|1|**9**|9|**11**|11|Flatten|
+|Floor|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Floor|
+|GRU|**1**:small_orange_diamond:|1:small_orange_diamond:|**3**:small_orange_diamond:|3:small_orange_diamond:|3:small_orange_diamond:|3:small_orange_diamond:|**7**:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|GRU|
+|Gather|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Gather|
+|GatherElements|-|-|-|-|-|-|-|-|-|-|**11**|11|GatherElements|
+|GatherND|-|-|-|-|-|-|-|-|-|-|**11**|**12**|GatherND|
+|Gemm|**1**|1|1|1|1|**6**|**7**|7|**9**|9|**11**|11|Gemm|
+|GlobalAveragePool|**1**|1|1|1|1|1|1|1|1|1|1|1|GlobalAveragePool|
+|GlobalLpPool|**1**|**2**|2|2|2|2|2|2|2|2|2|2|GlobalLpPool|
+|GlobalMaxPool|**1**|1|1|1|1|1|1|1|1|1|1|1|GlobalMaxPool|
+|Greater|**1**|1|1|1|1|1|**7**|7|**9**|9|9|9|Greater|
+|GreaterOrEqual|-|-|-|-|-|-|-|-|-|-|-|**12**|GreaterOrEqual|
+|HardSigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|6|HardSigmoid|
+|Hardmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Hardmax|
+|Identity|**1**|1|1|1|1|1|1|1|1|1|1|1|Identity|
+|If|**1**|1|1|1|1|1|1|1|1|1|**11**|11|If|
+|InstanceNormalization|**1**|1|1|1|1|**6**|6|6|6|6|6|6|InstanceNormalization|
+|IsInf|-|-|-|-|-|-|-|-|-|**10**|10|10|IsInf|
+|IsNaN|-|-|-|-|-|-|-|-|**9**|9|9|9|IsNaN|
+|LRN|**1**|1|1|1|1|1|1|1|1|1|1|1|LRN|
+|LSTM|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**7**:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|LSTM|
+|LeakyRelu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|LeakyRelu|
+|Less|**1**|1|1|1|1|1|**7**|7|**9**|9|9|9|Less|
+|LessOrEqual|-|-|-|-|-|-|-|-|-|-|-|**12**|LessOrEqual|
+|Log|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Log|
+|LogSoftmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|LogSoftmax|
+|Loop|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Loop|
+|LpNormalization|**1**|1|1|1|1|1|1|1|1|1|1|1|LpNormalization|
+|LpPool|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|LpPool|
+|MatMul|**1**|1|1|1|1|1|1|1|**9**|9|9|9|MatMul|
+|MatMulInteger|-|-|-|-|-|-|-|-|-|**10**|10|10|MatMulInteger|
+|Max|**1**|1|1|1|1|**6**|6|**8**|8|8|8|**12**|Max|
+|MaxPool|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**8**:small_orange_diamond:|8:small_orange_diamond:|**10**:small_orange_diamond:|**11**:small_orange_diamond:|**12**:small_orange_diamond:|MaxPool|
+|MaxRoiPool|**1**:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|MaxRoiPool|
+|MaxUnpool|-|-|-|-|-|-|-|-|**9**|9|**11**|11|MaxUnpool|
+|Mean|**1**|1|1|1|1|**6**|6|**8**|8|8|8|8|Mean|
+|MeanVarianceNormalization|-|-|-|-|-|-|-|-|**9**|9|9|9|MeanVarianceNormalization|
+|Min|**1**|1|1|1|1|**6**|6|**8**|8|8|8|**12**|Min|
+|Mod|-|-|-|-|-|-|-|-|-|**10**|10|10|Mod|
+|Mul|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|Mul|
+|Multinomial|-|-|-|-|-|-|**7**:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|Multinomial|
+|Neg|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Neg|
+|NegativeLogLikelihoodLoss|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|NegativeLogLikelihoodLoss|
+|NonMaxSuppression|-|-|-|-|-|-|-|-|-|**10**|**11**|11|NonMaxSuppression|
+|NonZero|-|-|-|-|-|-|-|-|**9**|9|9|9|NonZero|
+|Not|**1**|1|1|1|1|1|1|1|1|1|1|1|Not|
+|OneHot|-|-|-|-|-|-|-|-|**9**|9|**11**|11|OneHot|
+|Or|**1**|1|1|1|1|1|**7**|7|7|7|7|7|Or|
+|PRelu|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|9|PRelu|
+|Pad|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|Pad|
+|Pow|**1**|1|1|1|1|1|**7**|7|7|7|7|**12**|Pow|
+|QLinearConv|-|-|-|-|-|-|-|-|-|**10**|10|10|QLinearConv|
+|QLinearMatMul|-|-|-|-|-|-|-|-|-|**10**|10|10|QLinearMatMul|
+|QuantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|QuantizeLinear|
+|RNN|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**7**:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|RNN|
+|RandomNormal|**1**|1|1|1|1|1|1|1|1|1|1|1|RandomNormal|
+|RandomNormalLike|**1**|1|1|1|1|1|1|1|1|1|1|1|RandomNormalLike|
+|RandomUniform|**1**|1|1|1|1|1|1|1|1|1|1|1|RandomUniform|
+|RandomUniformLike|**1**|1|1|1|1|1|1|1|1|1|1|1|RandomUniformLike|
+|Range|-|-|-|-|-|-|-|-|-|-|**11**|11|Range|
+|Reciprocal|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Reciprocal|
+|ReduceL1|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceL1|
+|ReduceL2|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceL2|
+|ReduceLogSum|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceLogSum|
+|ReduceLogSumExp|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceLogSumExp|
+|ReduceMax|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|ReduceMax|
+|ReduceMean|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceMean|
+|ReduceMin|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|ReduceMin|
+|ReduceProd|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceProd|
+|ReduceSum|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceSum|
+|ReduceSumSquare|**1**|1|1|1|1|1|1|1|1|1|**11**|11|ReduceSumSquare|
+|Relu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Relu|
+|Reshape|**1**|1|1|1|**5**|5|5|5|5|5|5|5|Reshape|
+|Resize|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|**11**:small_orange_diamond:|11:small_orange_diamond:|Resize|
+|ReverseSequence|-|-|-|-|-|-|-|-|-|**10**|10|10|ReverseSequence|
+|RoiAlign|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|10:small_orange_diamond:|10:small_orange_diamond:|RoiAlign|
+|Round|-|-|-|-|-|-|-|-|-|-|**11**|11|Round|
+|Scan|-|-|-|-|-|-|-|**8**|**9**|9|**11**|11|Scan|
+|Scatter|-|-|-|-|-|-|-|-|**9**|9|**11**\*|11\*|Scatter|
+|ScatterElements|-|-|-|-|-|-|-|-|-|-|**11**|11|ScatterElements|
+|ScatterND|-|-|-|-|-|-|-|-|-|-|**11**|11|ScatterND|
+|Selu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Selu|
+|SequenceAt|-|-|-|-|-|-|-|-|-|-|**11**|11|SequenceAt|
+|SequenceConstruct|-|-|-|-|-|-|-|-|-|-|**11**|11|SequenceConstruct|
+|SequenceEmpty|-|-|-|-|-|-|-|-|-|-|**11**|11|SequenceEmpty|
+|SequenceErase|-|-|-|-|-|-|-|-|-|-|**11**|11|SequenceErase|
+|SequenceInsert|-|-|-|-|-|-|-|-|-|-|**11**|11|SequenceInsert|
+|SequenceLength|-|-|-|-|-|-|-|-|-|-|**11**|11|SequenceLength|
+|Shape|**1**|1|1|1|1|1|1|1|1|1|1|1|Shape|
+|Shrink|-|-|-|-|-|-|-|-|**9**|9|9|9|Shrink|
+|Sigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Sigmoid|
+|Sign|-|-|-|-|-|-|-|-|**9**|9|9|9|Sign|
+|Sin|-|-|-|-|-|-|**7**|7|7|7|7|7|Sin|
+|Sinh|-|-|-|-|-|-|-|-|**9**|9|9|9|Sinh|
+|Size|**1**|1|1|1|1|1|1|1|1|1|1|1|Size|
+|Slice|**1**|1|1|1|1|1|1|1|1|**10**|**11**|11|Slice|
+|Softmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Softmax|
+|SoftmaxCrossEntropyLoss|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|SoftmaxCrossEntropyLoss|
+|Softplus|**1**|1|1|1|1|1|1|1|1|1|1|1|Softplus|
+|Softsign|**1**|1|1|1|1|1|1|1|1|1|1|1|Softsign|
+|SpaceToDepth|**1**|1|1|1|1|1|1|1|1|1|1|1|SpaceToDepth|
+|Split|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|Split|
+|SplitToSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|11:small_orange_diamond:|SplitToSequence|
+|Sqrt|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Sqrt|
+|Squeeze|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Squeeze|
+|StringNormalizer|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|10:small_red_triangle:|10:small_red_triangle:|StringNormalizer|
+|Sub|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|Sub|
+|Sum|**1**|1|1|1|1|**6**|6|**8**|8|8|8|8|Sum|
+|Tan|-|-|-|-|-|-|**7**|7|7|7|7|7|Tan|
+|Tanh|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Tanh|
+|TfIdfVectorizer|-|-|-|-|-|-|-|-|**9**|9|9|9|TfIdfVectorizer|
+|ThresholdedRelu|-|-|-|-|-|-|-|-|-|**10**|10|10|ThresholdedRelu|
+|Tile|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Tile|
+|TopK|**1**|1|1|1|1|1|1|1|1|**10**|**11**|11|TopK|
+|Transpose|**1**|1|1|1|1|1|1|1|1|1|1|1|Transpose|
+|Unique|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|11:small_red_triangle:|Unique|
+|Unsqueeze|**1**|1|1|1|1|1|1|1|1|1|**11**|11|Unsqueeze|
+|Upsample|**1**:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|**7**:small_orange_diamond:|7:small_orange_diamond:|**9**:small_orange_diamond:|**10**\*|10\*|10\*|Upsample|
+|Where|-|-|-|-|-|-|-|-|**9**|9|9|9|Where|
+|Xor|**1**|1|1|1|1|1|**7**|7|7|7|7|7|Xor|
+
+ONNX-TF Supported Operators / ONNX Operators: 156 / 162
+
+Notes:
+1. Cast: Cast string to data types other than float32/float64/int32/int64 is not supported in Tensorflow
+2. ConcatFromSequence: new_axis=1 not supported in Tensorflow.
+3. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
+4. GRU: GRU with clip or GRU with linear_before_reset, or GRU not using sigmoid for z and r, or GRU using Elu as the activation function with alpha != 1, or GRU using HardSigmoid as the activation function with alpha != 0.2 or beta != 0.5 are not supported in TensorFlow.
+5. LSTM: LSTM not using sigmoid for `f`, or LSTM not using the same activation for `g` and `h` are not supported in Tensorflow.
+6. MaxPool: MaxPoolWithArgmax with pad is None or incompatible mode, or MaxPoolWithArgmax with 4D or higher input, or MaxPoolWithArgmax with column major are not supported in Tensorflow.
+7. RNN: RNN with clip is not supported in Tensorflow.
+8. Resize: Resize required 4D input in Tensorflow. For opset 11, only the following attributes and inputs conbination are supported in Tensorflow:
+	1. mode=nearest, coordinate_transformation_mode=align_corners, nearest_mode=round_prefer_ceil, can use scales(*) or sizes.
+	2. mode=nearest, coordinate_transformation_mode=asymmetric, nearest_mode=floor, can use scales(*) or sizes.
+	3. mode=nearest, coordinate_transformation_mode=tf_half_pixel_for_nn, nearest_mode=floor, can use scales(*) or sizes.
+	4. mode=linear, coordinate_transformation_mode=align_corners, can use scales(*) or sizes.
+	5. mode=linear, coordinate_transformation_mode=asymmetric, can use scales(*) or sizes.
+	6. mode=linear, coordinate_transformation_mode=half_pixel, can use scales(*) or sizes.
+	7. mode=cubic, coordinate_transformation_mode=align_corners, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
+	8. mode=cubic, coordinate_transformation_mode=asymmetric, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
+	9. mode=cubic, coordinate_transformation_mode=half_pixel, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
+	10. mode=nearest, coordinate_transformation_mode=tf_crop_and_resize, extrapolation_value=any_float_value, nearest_mode=round_prefer_ceil, can use scales or sizes.
+	11. mode=linear, coordinate_transformation_mode=tf_crop_and_resize, extrapolation_value=any_float_value, can use scales or sizes.
+	- Note (*): The accuracy of your model will go down, if the height and the width of the new sizes(scales * origial sizes) are not in whole numbers.
+9. RoiAlign: sampling_ratio <= 0 is not fully supported.
+10. SplitToSequence: Scalar as the split input not supported.
+11. Upsample: Upsample required 4D input in Tensorflow.

setup.py

@@ -42,7 +42,7 @@
     version=version,
     description=
     'Tensorflow backend for ONNX (Open Neural Network Exchange).',
-    install_requires=[onnx_dep, "PyYAML"],
+    install_requires=[onnx_dep, "PyYAML", "tensorflow_addons"],
     entry_points={
         "console_scripts": [
             "onnx-tf=onnx_tf.cli:main",