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Create Release 1.6.0
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‎.travis/setup_onnx_target.sh‎

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export TRAVIS=1
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echo "This is a CI test for onnx-tf master with onnx 1.6.0 and tf 2.0 release."
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docker pull winnietsang/onnx-tensorflow:onnx1.6.0-tf2.0
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docker run -t -d --name=test winnietsang/onnx-tensorflow:onnx1.6.0-tf2.0 /bin/bash
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echo "This is a CI test for onnx-tf master with onnx 1.7.0 and tf 2.2 release."
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docker pull winnietsang/onnx-tensorflow:onnx1.7.0-tf2.2
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docker run -t -d --name=test winnietsang/onnx-tensorflow:onnx1.7.0-tf2.2 /bin/bash

‎ONNX_VERSION_NUMBER‎

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1.5.0
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1.6.0

‎README.md‎

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@@ -36,7 +36,7 @@ The specific ONNX release version that we support in the master branch of ONNX-T
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To install the latest version of ONNX-TF via pip, run `pip install onnx-tf`.
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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 == 1.15.0.
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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.
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## Development:
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- Run `git clone https://github.com/onnx/onnx.git && cd onnx`.
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- Run `git submodule update --init --recursive`.
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- Run `pip install -e .`.
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- Install Tensorflow >= 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))
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- Install Tensorflow >= 2.2 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))
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- Run `git clone https://github.com/onnx/onnx-tensorflow.git && cd onnx-tensorflow`.
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- Run `pip install -e .`.
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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.
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```
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sudo docker pull winnietsang/onnx-tensorflow:onnx1.6.0-tf2.0
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sudo docker run -it --name=YOUR-CONTAINER-NAME winnietsang/onnx-tensorflow:onnx1.6.0-tf2.0 /bin/bash
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sudo docker pull winnietsang/onnx-tensorflow:onnx1.7.0-tf2.2
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sudo docker run -it --name=YOUR-CONTAINER-NAME winnietsang/onnx-tensorflow:onnx1.7.0-tf2.2 /bin/bash
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git clone https://github.com/YOUR-USERNAME/onnx-tensorflow.git
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cd onnx-tensorflow
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git checkout -b YOUR-BRANCH --track remotes/origin/YOUR-BRANCH

‎VERSION_NUMBER‎

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1.5.0
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1.6.0

‎Versioning.md‎

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1.2.1|1.1.2|1.5
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1.3.0|1.3.0|1.13.1
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1.5.0|1.5.0|1.15.0
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1.6.0|1.6.0|2.2.0

‎doc/support_status.md‎

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# ONNX-Tensorflow Support Status
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|||
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|-:|:-|
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|ONNX-Tensorflow Version|Master ( commit id: 355ee1c69f60fe350761fe57a0b7ba8319496af6 )|
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|ONNX Version|Master ( commit id: 925b3657924c0c16cd20b54595f41e76159b03ab )|
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|ONNX-Tensorflow Version|Master ( commit id: 5e17be08813b637c1a426c6ece4d3918af99a852 )|
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|ONNX Version|Master ( commit id: cc2230603422bae893d5bc900d2d773ab34400a4 )|
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|Tensorflow Version|v2.2.0|
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|Cosh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|
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|CumSum|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|11:small_orange_diamond:|11:small_orange_diamond:|
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|DepthToSpace|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|
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|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|10|
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|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|**13**:small_red_triangle:|
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|Det|-|-|-|-|-|-|-|-|-|-|**11**|11|11|
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|Div|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**:small_red_triangle:|
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|Dropout|**1**|1|1|1|1|**6**|**7**|7|7|**10**|10|**12**:small_red_triangle:|**13**:small_red_triangle:|
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|Pow|**1**|1|1|1|1|1|**7**|7|7|7|7|**12**:small_red_triangle:|**13**:small_red_triangle:|
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|QLinearConv|-|-|-|-|-|-|-|-|-|**10**|10|10|10|
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|QLinearMatMul|-|-|-|-|-|-|-|-|-|**10**|10|10|10|
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|QuantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|10|
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|QuantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|**13**:small_red_triangle:|
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|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:|7:small_orange_diamond:|
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|RandomNormal|**1**|1|1|1|1|1|1|1|1|1|1|1|1|
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|RandomNormalLike|**1**|1|1|1|1|1|1|1|1|1|1|1|1|
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|Where|-|-|-|-|-|-|-|-|**9**|9|9|9|9|
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|Xor|**1**|1|1|1|1|1|**7**|7|7|7|7|7|7|
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ONNX-TF Supported Operators / ONNX Operators: 78 / 162
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ONNX-TF Supported Operators / ONNX Operators: 76 / 162
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1. Cast: Cast string to float32/float64/int32/int64 are not supported in Tensorflow.

‎doc/support_status_v1_6_0.md‎

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# ONNX-Tensorflow Support Status
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|-:|:-|
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|ONNX-Tensorflow Version|v1.6.0|
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|ONNX Version|v1.6.0|
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|Tensorflow Version|v2.2.0|
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Notes:
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* Values that are new or updated from a previous opset version are in bold.
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* -: not defined in corresponding ONNX opset version
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* \*: the operator is deprecated
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* :small_red_triangle:: not supported yet
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* :small_orange_diamond:: partially supported
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* the rest are all supported
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|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
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|**ONNX Operator**|**Opset 1**|**Opset 2**|**Opset 3**|**Opset 4**|**Opset 5**|**Opset 6**|**Opset 7**|**Opset 8**|**Opset 9**|**Opset 10**|**Opset 11**|
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|Abs|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Acos|-|-|-|-|-|-|**7**|7|7|7|7|
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|Acosh|-|-|-|-|-|-|-|-|**9**|9|9|
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|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|7|
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|And|**1**|1|1|1|1|1|**7**|7|7|7|7|
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|ArgMax|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ArgMin|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|Asin|-|-|-|-|-|-|**7**|7|7|7|7|
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|Asinh|-|-|-|-|-|-|-|-|**9**|9|9|
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|Atan|-|-|-|-|-|-|**7**|7|7|7|7|
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|Atanh|-|-|-|-|-|-|-|-|**9**|9|9|
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|AveragePool|**1**|1|1|1|1|1|**7**|7|7|**10**|**11**|
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|BatchNormalization|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|
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|BitShift|-|-|-|-|-|-|-|-|-|-|**11**|
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|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:|
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|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Clip|**1**|1|1|1|1|**6**|6|6|6|6|**11**|
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|Compress|-|-|-|-|-|-|-|-|**9**|9|**11**|
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|Concat|**1**|1|1|**4**|4|4|4|4|4|4|**11**|
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|ConcatFromSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|
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|Constant|**1**|1|1|1|1|1|1|1|**9**|9|**11**|
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|ConstantOfShape|-|-|-|-|-|-|-|-|**9**|9|9|
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|Conv|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ConvInteger|-|-|-|-|-|-|-|-|-|**10**|10|
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|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:|
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|Cos|-|-|-|-|-|-|**7**|7|7|7|7|
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|Cosh|-|-|-|-|-|-|-|-|**9**|9|9|
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|CumSum|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|
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|DepthToSpace|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|
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|Det|-|-|-|-|-|-|-|-|-|-|**11**|
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|Div|**1**|1|1|1|1|**6**|**7**|7|7|7|7|
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|Dropout|**1**|1|1|1|1|**6**|**7**|7|7|**10**|10|
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|DynamicQuantizeLinear|-|-|-|-|-|-|-|-|-|-|**11**|
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|Elu|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Equal|**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:|**11**:small_orange_diamond:|
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|Erf|-|-|-|-|-|-|-|-|**9**|9|9|
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|Exp|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Expand|-|-|-|-|-|-|-|**8**|8|8|8|
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|EyeLike|-|-|-|-|-|-|-|-|**9**|9|9|
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|Flatten|**1**|1|1|1|1|1|1|1|**9**|9|**11**|
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|Floor|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|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:|
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|Gather|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|GatherElements|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|
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|GatherND|-|-|-|-|-|-|-|-|-|-|**11**|
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|Gemm|**1**|1|1|1|1|**6**|**7**|7|**9**|9|**11**|
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|GlobalAveragePool|**1**|1|1|1|1|1|1|1|1|1|1|
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|GlobalLpPool|**1**|**2**|2|2|2|2|2|2|2|2|2|
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|GlobalMaxPool|**1**|1|1|1|1|1|1|1|1|1|1|
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|Greater|**1**|1|1|1|1|1|**7**|7|**9**|9|9|
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|HardSigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Hardmax|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|Identity|**1**|1|1|1|1|1|1|1|1|1|1|
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|If|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|InstanceNormalization|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|IsInf|-|-|-|-|-|-|-|-|-|**10**|10|
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|IsNaN|-|-|-|-|-|-|-|-|**9**|9|9|
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|LRN|**1**|1|1|1|1|1|1|1|1|1|1|
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|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:|
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|LeakyRelu|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Less|**1**|1|1|1|1|1|**7**|7|**9**|9|9|
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|Log|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|LogSoftmax|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|Loop|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|LpNormalization|**1**|1|1|1|1|1|1|1|1|1|1|
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|LpPool|**1**:small_red_triangle:|**2**:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|2:small_red_triangle:|**11**:small_red_triangle:|
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|MatMul|**1**|1|1|1|1|1|1|1|**9**|9|9|
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|MatMulInteger|-|-|-|-|-|-|-|-|-|**10**|10|
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|Max|**1**|1|1|1|1|**6**|6|**8**|8|8|8|
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|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:|
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|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:|
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|MaxUnpool|-|-|-|-|-|-|-|-|**9**|9|**11**|
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|Mean|**1**|1|1|1|1|**6**|6|**8**|8|8|8|
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|MeanVarianceNormalization|-|-|-|-|-|-|-|-|**9**|9|9|
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|Min|**1**|1|1|1|1|**6**|6|**8**|8|8|8|
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|Mod|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|10:small_orange_diamond:|
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|Mul|**1**|1|1|1|1|**6**|**7**|7|7|7|7|
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|Multinomial|-|-|-|-|-|-|**7**:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|
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|Neg|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|NonMaxSuppression|-|-|-|-|-|-|-|-|-|**10**|**11**|
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|NonZero|-|-|-|-|-|-|-|-|**9**|9|9|
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|Not|**1**|1|1|1|1|1|1|1|1|1|1|
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|OneHot|-|-|-|-|-|-|-|-|**9**:small_orange_diamond:|9:small_orange_diamond:|**11**:small_orange_diamond:|
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|Or|**1**|1|1|1|1|1|**7**|7|7|7|7|
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|PRelu|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|
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|Pad|**1**|**2**|2|2|2|2|2|2|2|2|**11**|
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|Pow|**1**|1|1|1|1|1|**7**|7|7|7|7|
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|QLinearConv|-|-|-|-|-|-|-|-|-|**10**|10|
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|QLinearMatMul|-|-|-|-|-|-|-|-|-|**10**|10|
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|QuantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|
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|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:|
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|RandomNormal|**1**|1|1|1|1|1|1|1|1|1|1|
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|RandomNormalLike|**1**|1|1|1|1|1|1|1|1|1|1|
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|RandomUniform|**1**|1|1|1|1|1|1|1|1|1|1|
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|RandomUniformLike|**1**|1|1|1|1|1|1|1|1|1|1|
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|Range|-|-|-|-|-|-|-|-|-|-|**11**|
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|Reciprocal|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|ReduceL1|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceL2|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceLogSum|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceLogSumExp|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceMax|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceMean|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceMin|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceProd|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceSum|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|ReduceSumSquare|**1**|1|1|1|1|1|1|1|1|1|**11**|
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|Relu|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Reshape|**1**|1|1|1|**5**|5|5|5|5|5|5|
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|Resize|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|**11**:small_red_triangle:|
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|ReverseSequence|-|-|-|-|-|-|-|-|-|**10**|10|
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|RoiAlign|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|10:small_red_triangle:|
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|Round|-|-|-|-|-|-|-|-|-|-|**11**|
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|Scan|-|-|-|-|-|-|-|**8**|**9**|9|**11**|
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|Scatter|-|-|-|-|-|-|-|-|**9**|9|**11**\*|
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|ScatterElements|-|-|-|-|-|-|-|-|-|-|**11**|
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|ScatterND|-|-|-|-|-|-|-|-|-|-|**11**|
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|Selu|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|SequenceAt|-|-|-|-|-|-|-|-|-|-|**11**|
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|SequenceConstruct|-|-|-|-|-|-|-|-|-|-|**11**|
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|SequenceEmpty|-|-|-|-|-|-|-|-|-|-|**11**|
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|SequenceErase|-|-|-|-|-|-|-|-|-|-|**11**|
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|SequenceInsert|-|-|-|-|-|-|-|-|-|-|**11**|
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|SequenceLength|-|-|-|-|-|-|-|-|-|-|**11**|
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|Shape|**1**|1|1|1|1|1|1|1|1|1|1|
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|Shrink|-|-|-|-|-|-|-|-|**9**|9|9|
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|Sigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|
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|Sign|-|-|-|-|-|-|-|-|**9**|9|9|
148+
|Sin|-|-|-|-|-|-|**7**|7|7|7|7|
149+
|Sinh|-|-|-|-|-|-|-|-|**9**|9|9|
150+
|Size|**1**|1|1|1|1|1|1|1|1|1|1|
151+
|Slice|**1**|1|1|1|1|1|1|1|1|**10**|**11**|
152+
|Softmax|**1**|1|1|1|1|1|1|1|1|1|**11**|
153+
|Softplus|**1**|1|1|1|1|1|1|1|1|1|1|
154+
|Softsign|**1**|1|1|1|1|1|1|1|1|1|1|
155+
|SpaceToDepth|**1**|1|1|1|1|1|1|1|1|1|1|
156+
|Split|**1**|**2**|2|2|2|2|2|2|2|2|**11**|
157+
|SplitToSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|
158+
|Sqrt|**1**|1|1|1|1|**6**|6|6|6|6|6|
159+
|Squeeze|**1**|1|1|1|1|1|1|1|1|1|**11**|
160+
|StringNormalizer|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|10:small_red_triangle:|
161+
|Sub|**1**|1|1|1|1|**6**|**7**|7|7|7|7|
162+
|Sum|**1**|1|1|1|1|**6**|6|**8**|8|8|8|
163+
|Tan|-|-|-|-|-|-|**7**|7|7|7|7|
164+
|Tanh|**1**|1|1|1|1|**6**|6|6|6|6|6|
165+
|TfIdfVectorizer|-|-|-|-|-|-|-|-|**9**|9|9|
166+
|ThresholdedRelu|-|-|-|-|-|-|-|-|-|**10**|10|
167+
|Tile|**1**|1|1|1|1|**6**|6|6|6|6|6|
168+
|TopK|**1**|1|1|1|1|1|1|1|1|**10**|**11**|
169+
|Transpose|**1**|1|1|1|1|1|1|1|1|1|1|
170+
|Unique|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|
171+
|Unsqueeze|**1**|1|1|1|1|1|1|1|1|1|**11**|
172+
|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\*|
173+
|Where|-|-|-|-|-|-|-|-|**9**|9|9|
174+
|Xor|**1**|1|1|1|1|1|**7**|7|7|7|7|
175+
176+
ONNX-TF Supported Operators / ONNX Operators: 146 / 156
177+
178+
Notes:
179+
1. Cast: Cast string to float32/float64/int32/int64 are not supported in Tensorflow.
180+
2. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
181+
3. CumSum: CumSum inputs in uint32/uint64 are not supported in Tensorflow.
182+
4. Equal: Equal inputs in uint16/uint32/uint64 are not supported in Tensorflow.
183+
5. 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.
184+
6. LSTM: LSTM not using sigmoid for `f`, or LSTM not using the same activation for `g` and `h` are not supported in Tensorflow.
185+
7. MaxPool: MaxPoolWithArgmax with pad is None or incompatible mode, or MaxPoolWithArgmax with 4D or higher input, orMaxPoolWithArgmax with column major are not supported in Tensorflow.
186+
8. Mod: Mod Dividend or Divisor in int8/int16/uint8/uint16/uint32/uint64 are not supported in Tensorflow.
187+
9. OneHot: OneHot indices in uint16/uint32/uint64/int8/int16/float16/float/double, or OneHot depth in uint8/uint16/uint32/uint64/int8/int16/int64/float16/float/double are not supported in Tensorflow.
188+
10. RNN: RNN with clip is not supported in Tensorflow.
189+
11. Resize: Resize required 4D input in Tensorflow.
190+
12. Upsample: Upsample required 4D input in Tensorflow.

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