重命名 pt2tf 为 pt2pb

pt2pb/onnx-tensorflow/doc/API.md

@@ -0,0 +1,62 @@
+ONNX-Tensorflow API
+======
+
+#### `onnx_tf.backend.prepare`
+
+<details>
+  <summary>Prepare an ONNX model for Tensorflow Backend.
+
+  </summary>
+This function converts an ONNX model to an internel representation
+of the computational graph called TensorflowRep and returns
+the converted representation.
+
+</details>
+
+
+
+_params_:
+
+`model` : The ONNX model to be converted.
+
+
+`device` : The device to execute this model on.
+
+
+`strict` : Whether to enforce semantic equivalence between the original model
+and the converted tensorflow model, defaults to True (yes, enforce semantic equivalence).
+Changing to False is strongly discouraged.
+Currently, the strict flag only affects the behavior of MaxPool and AveragePool ops.
+
+
+`logging_level` : The logging level, default is INFO. Change it to DEBUG
+to see more conversion details or to WARNING to see less
+
+
+_returns_:
+
+A TensorflowRep class object representing the ONNX model
+
+#### `onnx_tf.backend_rep.TensorflowRep.export_graph`
+
+<details>
+  <summary>Export backend representation to a Tensorflow proto file.
+
+  </summary>
+This function obtains the graph proto corresponding to the ONNX
+model associated with the backend representation and serializes
+to a protobuf file.
+
+</details>
+
+
+
+_params_:
+
+`path` : The path to the output TF protobuf file.
+
+
+_returns_:
+
+none.
+

pt2pb/onnx-tensorflow/doc/CLI.md

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+ONNX-Tensorflow Command Line Interface
+======
+
+## Available commands:
+- convert
+
+More information: `onnx-tf -h`
+```
+usage: onnx-tf [-h] {convert}
+
+ONNX-Tensorflow Command Line Interface
+
+positional arguments:
+  {convert}   Available commands.
+
+optional arguments:
+  -h, --help  show this help message and exit
+```
+
+## Usage:
+
+### Convert:
+
+#### From ONNX to Tensorflow:
+`onnx-tf convert -i /path/to/input.onnx -o /path/to/output.pb`
+
+More information: `onnx-tf convert -h`
+```
+usage: onnx-tf [-h] --infile INFILE --outfile OUTFILE [--device DEVICE]
+               [--strict STRICT] [--logging_level LOGGING_LEVEL]
+
+This is the converter for converting protocol buffer between tf and onnx.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --infile INFILE, -i INFILE
+                        Input file path.
+  --outfile OUTFILE, -o OUTFILE
+                        Output file path.
+
+backend arguments (onnx -> tf):
+  --device DEVICE       The device to execute this model on. (from
+                        onnx_tf.backend.prepare)
+  --strict STRICT       Whether to enforce semantic equivalence between the
+                        original model and the converted tensorflow model,
+                        defaults to True (yes, enforce semantic equivalence).
+                        Changing to False is strongly discouraged. Currently,
+                        the strict flag only affects the behavior of MaxPool
+                        and AveragePool ops. (from onnx_tf.backend.prepare)
+  --logging_level LOGGING_LEVEL
+                        The logging level, default is INFO. Change it to DEBUG
+                        to see more conversion details or to WARNING to see
+                        less (from onnx_tf.backend.prepare)
+```

pt2pb/onnx-tensorflow/doc/CLI_template.md

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+ONNX-Tensorflow Command Line Interface
+======
+
+## Available commands:
+- convert
+
+More information: `onnx-tf -h`
+```
+{onnx-tf -h}
+```
+
+## Usage:
+
+### Convert:
+
+#### From ONNX to Tensorflow:
+`onnx-tf convert -i /path/to/input.onnx -o /path/to/output.pb`
+
+More information: `onnx-tf convert -h`
+```
+{onnx-tf convert -h}
+```

pt2pb/onnx-tensorflow/doc/IMPLEMENTING_NEW_OP.md

@@ -0,0 +1,22 @@
+How to implement new op
+======
+
+When you get `{} op is not implemented`, you can follow next steps to implement.
+Customize op can also be implemented in similar way.
+
+### Backend
+
+1.  Verify the latest master version of ONNX is installed on your environment
+2.  Find specification from [onnx/Operators](https://github.com/onnx/onnx/blob/master/docs/Operators.md).
+3.  Implement the handler. All inputs and attrs could get from step 2.
+    ```
+    - add handler to /onnx_tf/handlers/backend/
+    - in the new handler define a classmethod called version_{version}
+
+    * version is the number of since version, which can get from operator's specification
+    ```
+4.  From within the `onnx_tf` directory, run `gen_opset.py`.
+5.  From within the `onnx_tf` directory, run `gen_status.py`.
+6.  From within the `onnx_tf` directory, run `gen_doc.py` if there is any update to CLI or API.
+7.  Verify the operator's test cases in `test/backend/test_onnx_backend.py` all pass.
+8.  Add any additional test cases to `test/backend/test_node.py`.

pt2pb/onnx-tensorflow/doc/support_status.md

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+# ONNX-Tensorflow Support Status
+|||
+|-:|:-|
+|ONNX-Tensorflow Version|Master ( commit id: 8fea59a976e2d65eab2ab021864e2cab038bb7d5 )|
+|ONNX Version|v1.7.0|
+|Tensorflow Version|v1.15.0|
+
+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**:small_red_triangle:|Celu|
+|Clip|**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:|6:small_orange_diamond:|6:small_orange_diamond:|**11**:small_orange_diamond:|**12**:small_orange_diamond:|Clip|
+|Compress|-|-|-|-|-|-|-|-|**9**|9|**11**|11|Compress|
+|Concat|**1**|1|1|**4**|4|4|4|4|4|4|**11**|11|Concat|
+|ConcatFromSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|11:small_red_triangle:|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**:small_orange_diamond:|11:small_orange_diamond:|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**:small_red_triangle:|Dropout|
+|DynamicQuantizeLinear|-|-|-|-|-|-|-|-|-|-|**11**|11|DynamicQuantizeLinear|
+|Einsum|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|Einsum|
+|Elu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|Elu|
+|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:|11:small_orange_diamond:|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**:small_red_triangle:|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**:small_red_triangle:|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**:small_red_triangle:|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**:small_red_triangle:|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**:small_red_triangle:|Min|
+|Mod|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|10:small_orange_diamond:|10:small_orange_diamond:|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**:small_orange_diamond:|9:small_orange_diamond:|**11**:small_orange_diamond:|11:small_orange_diamond:|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**:small_red_triangle:|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_red_triangle:|10:small_red_triangle:|10:small_red_triangle:|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_red_triangle:|11:small_red_triangle:|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: 144 / 162
+
+Notes:
+1. Cast: Cast string to float32/float64/int32/int64 are not supported in Tensorflow.
+2. Clip: Clip input in uint64 is not supported in Tensorflow.
+3. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
+4. CumSum: CumSum inputs in uint32/uint64 are not supported in Tensorflow.
+5. Equal: Equal inputs in uint16/uint32/uint64 are not supported in Tensorflow.
+6. 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.
+7. LSTM: LSTM not using sigmoid for `f`, or LSTM not using the same activation for `g` and `h` are not supported in Tensorflow.
+8. 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.
+9. Mod: Mod Dividend or Divisor in int8/int16/uint8/uint16/uint32/uint64 are not supported in Tensorflow.
+10. 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.
+11. RNN: RNN with clip is not supported in Tensorflow.
+12. 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.
+13. Upsample: Upsample required 4D input in Tensorflow.

pt2pb/onnx-tensorflow/doc/support_status_v1_5_0.md

@@ -0,0 +1,170 @@
+# ONNX-Tensorflow Support Status
+|||
+|-:|:-|
+|ONNX-Tensorflow Version|v1.5.0|
+|ONNX Version|v1.5.0|
+|Tensorflow Version|v1.15.0|
+
+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**|
+|Abs|**1**|1|1|1|1|**6**|6|6|6|6|
+|Acos|-|-|-|-|-|-|**7**|7|7|7|
+|Acosh|-|-|-|-|-|-|-|-|**9**|9|
+|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|
+|And|**1**|1|1|1|1|1|**7**|7|7|7|
+|ArgMax|**1**|1|1|1|1|1|1|1|1|1|
+|ArgMin|**1**|1|1|1|1|1|1|1|1|1|
+|Asin|-|-|-|-|-|-|**7**|7|7|7|
+|Asinh|-|-|-|-|-|-|-|-|**9**|9|
+|Atan|-|-|-|-|-|-|**7**|7|7|7|
+|Atanh|-|-|-|-|-|-|-|-|**9**|9|
+|AveragePool|**1**|1|1|1|1|1|**7**|7|7|**10**|
+|BatchNormalization|**1**|1|1|1|1|**6**|**7**|7|**9**|9|
+|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:|
+|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|
+|Clip|**1**|1|1|1|1|**6**|6|6|6|6|
+|Compress|-|-|-|-|-|-|-|-|**9**|9|
+|Concat|**1**|1|1|**4**|4|4|4|4|4|4|
+|Constant|**1**|1|1|1|1|1|1|1|**9**|9|
+|ConstantOfShape|-|-|-|-|-|-|-|-|**9**|9|
+|Conv|**1**|1|1|1|1|1|1|1|1|1|
+|ConvInteger|-|-|-|-|-|-|-|-|-|**10**|
+|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:|
+|Cos|-|-|-|-|-|-|**7**|7|7|7|
+|Cosh|-|-|-|-|-|-|-|-|**9**|9|
+|DepthToSpace|**1**|1|1|1|1|1|1|1|1|1|
+|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|
+|Div|**1**|1|1|1|1|**6**|**7**|7|7|7|
+|Dropout|**1**|1|1|1|1|**6**|**7**|7|7|**10**|
+|Elu|**1**|1|1|1|1|**6**|6|6|6|6|
+|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:|
+|Erf|-|-|-|-|-|-|-|-|**9**|9|
+|Exp|**1**|1|1|1|1|**6**|6|6|6|6|
+|Expand|-|-|-|-|-|-|-|**8**|8|8|
+|EyeLike|-|-|-|-|-|-|-|-|**9**|9|
+|Flatten|**1**|1|1|1|1|1|1|1|**9**|9|
+|Floor|**1**|1|1|1|1|**6**|6|6|6|6|
+|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:|
+|Gather|**1**|1|1|1|1|1|1|1|1|1|
+|Gemm|**1**|1|1|1|1|**6**|**7**|7|**9**|9|
+|GlobalAveragePool|**1**|1|1|1|1|1|1|1|1|1|
+|GlobalLpPool|**1**|**2**|2|2|2|2|2|2|2|2|
+|GlobalMaxPool|**1**|1|1|1|1|1|1|1|1|1|
+|Greater|**1**|1|1|1|1|1|**7**|7|**9**|9|
+|HardSigmoid|**1**|1|1|1|1|**6**|6|6|6|6|
+|Hardmax|**1**|1|1|1|1|1|1|1|1|1|
+|Identity|**1**|1|1|1|1|1|1|1|1|1|
+|If|**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:|
+|InstanceNormalization|**1**|1|1|1|1|**6**|6|6|6|6|
+|IsInf|-|-|-|-|-|-|-|-|-|**10**|
+|IsNaN|-|-|-|-|-|-|-|-|**9**|9|
+|LRN|**1**|1|1|1|1|1|1|1|1|1|
+|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:|
+|LeakyRelu|**1**|1|1|1|1|**6**|6|6|6|6|
+|Less|**1**|1|1|1|1|1|**7**|7|**9**|9|
+|Log|**1**|1|1|1|1|**6**|6|6|6|6|
+|LogSoftmax|**1**|1|1|1|1|1|1|1|1|1|
+|Loop|**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:|
+|LpNormalization|**1**|1|1|1|1|1|1|1|1|1|
+|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:|
+|MatMul|**1**|1|1|1|1|1|1|1|**9**|9|
+|MatMulInteger|-|-|-|-|-|-|-|-|-|**10**|
+|Max|**1**|1|1|1|1|**6**|6|**8**|8|8|
+|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:|
+|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:|
+|MaxUnpool|-|-|-|-|-|-|-|-|**9**|9|
+|Mean|**1**|1|1|1|1|**6**|6|**8**|8|8|
+|MeanVarianceNormalization|-|-|-|-|-|-|-|-|**9**|9|
+|Min|**1**|1|1|1|1|**6**|6|**8**|8|8|
+|Mod|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|
+|Mul|**1**|1|1|1|1|**6**|**7**|7|7|7|
+|Multinomial|-|-|-|-|-|-|**7**:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|
+|Neg|**1**|1|1|1|1|**6**|6|6|6|6|
+|NonMaxSuppression|-|-|-|-|-|-|-|-|-|**10**|
+|NonZero|-|-|-|-|-|-|-|-|**9**|9|
+|Not|**1**|1|1|1|1|1|1|1|1|1|
+|OneHot|-|-|-|-|-|-|-|-|**9**:small_orange_diamond:|9:small_orange_diamond:|
+|Or|**1**|1|1|1|1|1|**7**|7|7|7|
+|PRelu|**1**|1|1|1|1|**6**|**7**|7|**9**|9|
+|Pad|**1**|**2**|2|2|2|2|2|2|2|2|
+|Pow|**1**|1|1|1|1|1|**7**|7|7|7|
+|QLinearConv|-|-|-|-|-|-|-|-|-|**10**|
+|QLinearMatMul|-|-|-|-|-|-|-|-|-|**10**|
+|QuantizeLinear|-|-|-|-|-|-|-|-|-|**10**|
+|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:|
+|RandomNormal|**1**|1|1|1|1|1|1|1|1|1|
+|RandomNormalLike|**1**|1|1|1|1|1|1|1|1|1|
+|RandomUniform|**1**|1|1|1|1|1|1|1|1|1|
+|RandomUniformLike|**1**|1|1|1|1|1|1|1|1|1|
+|Reciprocal|**1**|1|1|1|1|**6**|6|6|6|6|
+|ReduceL1|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceL2|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceLogSum|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceLogSumExp|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceMax|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceMean|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceMin|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceProd|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceSum|**1**|1|1|1|1|1|1|1|1|1|
+|ReduceSumSquare|**1**|1|1|1|1|1|1|1|1|1|
+|Relu|**1**|1|1|1|1|**6**|6|6|6|6|
+|Reshape|**1**|1|1|1|**5**|5|5|5|5|5|
+|Resize|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|
+|ReverseSequence|-|-|-|-|-|-|-|-|-|**10**|
+|RoiAlign|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|
+|Scan|-|-|-|-|-|-|-|**8**|**9**|9|
+|Scatter|-|-|-|-|-|-|-|-|**9**|9|
+|Selu|**1**|1|1|1|1|**6**|6|6|6|6|
+|Shape|**1**|1|1|1|1|1|1|1|1|1|
+|Shrink|-|-|-|-|-|-|-|-|**9**|9|
+|Sigmoid|**1**|1|1|1|1|**6**|6|6|6|6|
+|Sign|-|-|-|-|-|-|-|-|**9**|9|
+|Sin|-|-|-|-|-|-|**7**|7|7|7|
+|Sinh|-|-|-|-|-|-|-|-|**9**|9|
+|Size|**1**|1|1|1|1|1|1|1|1|1|
+|Slice|**1**|1|1|1|1|1|1|1|1|**10**|
+|Softmax|**1**|1|1|1|1|1|1|1|1|1|
+|Softplus|**1**|1|1|1|1|1|1|1|1|1|
+|Softsign|**1**|1|1|1|1|1|1|1|1|1|
+|SpaceToDepth|**1**|1|1|1|1|1|1|1|1|1|
+|Split|**1**|**2**|2|2|2|2|2|2|2|2|
+|Sqrt|**1**|1|1|1|1|**6**|6|6|6|6|
+|Squeeze|**1**|1|1|1|1|1|1|1|1|1|
+|StringNormalizer|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|
+|Sub|**1**|1|1|1|1|**6**|**7**|7|7|7|
+|Sum|**1**|1|1|1|1|**6**|6|**8**|8|8|
+|Tan|-|-|-|-|-|-|**7**|7|7|7|
+|Tanh|**1**|1|1|1|1|**6**|6|6|6|6|
+|TfIdfVectorizer|-|-|-|-|-|-|-|-|**9**|9|
+|ThresholdedRelu|-|-|-|-|-|-|-|-|-|**10**|
+|Tile|**1**|1|1|1|1|**6**|6|6|6|6|
+|TopK|**1**|1|1|1|1|1|1|1|1|**10**|
+|Transpose|**1**|1|1|1|1|1|1|1|1|1|
+|Unsqueeze|**1**|1|1|1|1|1|1|1|1|1|
+|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**\*|
+|Where|-|-|-|-|-|-|-|-|**9**|9|
+|Xor|**1**|1|1|1|1|1|**7**|7|7|7|
+
+ONNX-TF Supported Operators / ONNX Operators: 130 / 137
+
+Notes:
+1. Cast: Cast string to float32/float64/int32/int64 are not supported in Tensorflow.
+2. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
+3. Equal: Equal inputs in uint16/uint32/uint64 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, orMaxPoolWithArgmax with column major are not supported in Tensorflow.
+7. Mod: Mod Dividend or Divisor in int8/int16/uint8/uint16/uint32/uint64 are not supported in Tensorflow.
+8. 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.
+9. RNN: RNN with clip is not supported in Tensorflow.
+10. Resize: Resize required 4D input in Tensorflow.
+11. Upsample: Upsample required 4D input in Tensorflow.

pt2pb/onnx-tensorflow/doc/support_status_v1_6_0.md

@@ -0,0 +1,203 @@
+# ONNX-Tensorflow Support Status
+|||
+|-:|:-|
+|ONNX-Tensorflow Version|v1.6.0|
+|ONNX Version|v1.6.0|
+|Tensorflow Version|v1.15.0|
+
+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**|**ONNX Operator**|
+|Abs|**1**|1|1|1|1|**6**|6|6|6|6|6|Abs|
+|Acos|-|-|-|-|-|-|**7**|7|7|7|7|Acos|
+|Acosh|-|-|-|-|-|-|-|-|**9**|9|9|Acosh|
+|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|7|Add|
+|And|**1**|1|1|1|1|1|**7**|7|7|7|7|And|
+|ArgMax|**1**|1|1|1|1|1|1|1|1|1|**11**|ArgMax|
+|ArgMin|**1**|1|1|1|1|1|1|1|1|1|**11**|ArgMin|
+|Asin|-|-|-|-|-|-|**7**|7|7|7|7|Asin|
+|Asinh|-|-|-|-|-|-|-|-|**9**|9|9|Asinh|
+|Atan|-|-|-|-|-|-|**7**|7|7|7|7|Atan|
+|Atanh|-|-|-|-|-|-|-|-|**9**|9|9|Atanh|
+|AveragePool|**1**|1|1|1|1|1|**7**|7|7|**10**|**11**|AveragePool|
+|BatchNormalization|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|BatchNormalization|
+|BitShift|-|-|-|-|-|-|-|-|-|-|**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:|Cast|
+|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|6|Ceil|
+|Clip|**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:|6:small_orange_diamond:|6:small_orange_diamond:|**11**:small_orange_diamond:|Clip|
+|Compress|-|-|-|-|-|-|-|-|**9**|9|**11**|Compress|
+|Concat|**1**|1|1|**4**|4|4|4|4|4|4|**11**|Concat|
+|ConcatFromSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|ConcatFromSequence|
+|Constant|**1**|1|1|1|1|1|1|1|**9**|9|**11**|Constant|
+|ConstantOfShape|-|-|-|-|-|-|-|-|**9**|9|9|ConstantOfShape|
+|Conv|**1**|1|1|1|1|1|1|1|1|1|**11**|Conv|
+|ConvInteger|-|-|-|-|-|-|-|-|-|**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:|ConvTranspose|
+|Cos|-|-|-|-|-|-|**7**|7|7|7|7|Cos|
+|Cosh|-|-|-|-|-|-|-|-|**9**|9|9|Cosh|
+|CumSum|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|CumSum|
+|DepthToSpace|**1**|1|1|1|1|1|1|1|1|1|**11**|DepthToSpace|
+|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|DequantizeLinear|
+|Det|-|-|-|-|-|-|-|-|-|-|**11**|Det|
+|Div|**1**|1|1|1|1|**6**|**7**|7|7|7|7|Div|
+|Dropout|**1**|1|1|1|1|**6**|**7**|7|7|**10**|10|Dropout|
+|DynamicQuantizeLinear|-|-|-|-|-|-|-|-|-|-|**11**|DynamicQuantizeLinear|
+|Elu|**1**|1|1|1|1|**6**|6|6|6|6|6|Elu|
+|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:|Equal|
+|Erf|-|-|-|-|-|-|-|-|**9**|9|9|Erf|
+|Exp|**1**|1|1|1|1|**6**|6|6|6|6|6|Exp|
+|Expand|-|-|-|-|-|-|-|**8**|8|8|8|Expand|
+|EyeLike|-|-|-|-|-|-|-|-|**9**|9|9|EyeLike|
+|Flatten|**1**|1|1|1|1|1|1|1|**9**|9|**11**|Flatten|
+|Floor|**1**|1|1|1|1|**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:|GRU|
+|Gather|**1**|1|1|1|1|1|1|1|1|1|**11**|Gather|
+|GatherElements|-|-|-|-|-|-|-|-|-|-|**11**|GatherElements|
+|GatherND|-|-|-|-|-|-|-|-|-|-|**11**|GatherND|
+|Gemm|**1**|1|1|1|1|**6**|**7**|7|**9**|9|**11**|Gemm|
+|GlobalAveragePool|**1**|1|1|1|1|1|1|1|1|1|1|GlobalAveragePool|
+|GlobalLpPool|**1**|**2**|2|2|2|2|2|2|2|2|2|GlobalLpPool|
+|GlobalMaxPool|**1**|1|1|1|1|1|1|1|1|1|1|GlobalMaxPool|
+|Greater|**1**|1|1|1|1|1|**7**|7|**9**|9|9|Greater|
+|HardSigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|HardSigmoid|
+|Hardmax|**1**|1|1|1|1|1|1|1|1|1|**11**|Hardmax|
+|Identity|**1**|1|1|1|1|1|1|1|1|1|1|Identity|
+|If|**1**|1|1|1|1|1|1|1|1|1|**11**|If|
+|InstanceNormalization|**1**|1|1|1|1|**6**|6|6|6|6|6|InstanceNormalization|
+|IsInf|-|-|-|-|-|-|-|-|-|**10**|10|IsInf|
+|IsNaN|-|-|-|-|-|-|-|-|**9**|9|9|IsNaN|
+|LRN|**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:|LSTM|
+|LeakyRelu|**1**|1|1|1|1|**6**|6|6|6|6|6|LeakyRelu|
+|Less|**1**|1|1|1|1|1|**7**|7|**9**|9|9|Less|
+|Log|**1**|1|1|1|1|**6**|6|6|6|6|6|Log|
+|LogSoftmax|**1**|1|1|1|1|1|1|1|1|1|**11**|LogSoftmax|
+|Loop|**1**|1|1|1|1|1|1|1|1|1|**11**|Loop|
+|LpNormalization|**1**|1|1|1|1|1|1|1|1|1|1|LpNormalization|
+|LpPool|**1**|**2**|2|2|2|2|2|2|2|2|**11**|LpPool|
+|MatMul|**1**|1|1|1|1|1|1|1|**9**|9|9|MatMul|
+|MatMulInteger|-|-|-|-|-|-|-|-|-|**10**|10|MatMulInteger|
+|Max|**1**|1|1|1|1|**6**|6|**8**|8|8|8|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:|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:|MaxRoiPool|
+|MaxUnpool|-|-|-|-|-|-|-|-|**9**|9|**11**|MaxUnpool|
+|Mean|**1**|1|1|1|1|**6**|6|**8**|8|8|8|Mean|
+|MeanVarianceNormalization|-|-|-|-|-|-|-|-|**9**|9|9|MeanVarianceNormalization|
+|Min|**1**|1|1|1|1|**6**|6|**8**|8|8|8|Min|
+|Mod|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|10:small_orange_diamond:|Mod|
+|Mul|**1**|1|1|1|1|**6**|**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:|Multinomial|
+|Neg|**1**|1|1|1|1|**6**|6|6|6|6|6|Neg|
+|NonMaxSuppression|-|-|-|-|-|-|-|-|-|**10**|**11**|NonMaxSuppression|
+|NonZero|-|-|-|-|-|-|-|-|**9**|9|9|NonZero|
+|Not|**1**|1|1|1|1|1|1|1|1|1|1|Not|
+|OneHot|-|-|-|-|-|-|-|-|**9**:small_orange_diamond:|9:small_orange_diamond:|**11**:small_orange_diamond:|OneHot|
+|Or|**1**|1|1|1|1|1|**7**|7|7|7|7|Or|
+|PRelu|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|PRelu|
+|Pad|**1**|**2**|2|2|2|2|2|2|2|2|**11**|Pad|
+|Pow|**1**|1|1|1|1|1|**7**|7|7|7|7|Pow|
+|QLinearConv|-|-|-|-|-|-|-|-|-|**10**|10|QLinearConv|
+|QLinearMatMul|-|-|-|-|-|-|-|-|-|**10**|10|QLinearMatMul|
+|QuantizeLinear|-|-|-|-|-|-|-|-|-|**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:|RNN|
+|RandomNormal|**1**|1|1|1|1|1|1|1|1|1|1|RandomNormal|
+|RandomNormalLike|**1**|1|1|1|1|1|1|1|1|1|1|RandomNormalLike|
+|RandomUniform|**1**|1|1|1|1|1|1|1|1|1|1|RandomUniform|
+|RandomUniformLike|**1**|1|1|1|1|1|1|1|1|1|1|RandomUniformLike|
+|Range|-|-|-|-|-|-|-|-|-|-|**11**|Range|
+|Reciprocal|**1**|1|1|1|1|**6**|6|6|6|6|6|Reciprocal|
+|ReduceL1|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceL1|
+|ReduceL2|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceL2|
+|ReduceLogSum|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceLogSum|
+|ReduceLogSumExp|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceLogSumExp|
+|ReduceMax|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceMax|
+|ReduceMean|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceMean|
+|ReduceMin|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceMin|
+|ReduceProd|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceProd|
+|ReduceSum|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceSum|
+|ReduceSumSquare|**1**|1|1|1|1|1|1|1|1|1|**11**|ReduceSumSquare|
+|Relu|**1**|1|1|1|1|**6**|6|6|6|6|6|Relu|
+|Reshape|**1**|1|1|1|**5**|5|5|5|5|5|5|Reshape|
+|Resize|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|**11**:small_orange_diamond:|Resize|
+|ReverseSequence|-|-|-|-|-|-|-|-|-|**10**|10|ReverseSequence|
+|RoiAlign|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|10:small_red_triangle:|RoiAlign|
+|Round|-|-|-|-|-|-|-|-|-|-|**11**|Round|
+|Scan|-|-|-|-|-|-|-|**8**|**9**|9|**11**|Scan|
+|Scatter|-|-|-|-|-|-|-|-|**9**|9|**11**\*|Scatter|
+|ScatterElements|-|-|-|-|-|-|-|-|-|-|**11**|ScatterElements|
+|ScatterND|-|-|-|-|-|-|-|-|-|-|**11**|ScatterND|
+|Selu|**1**|1|1|1|1|**6**|6|6|6|6|6|Selu|
+|SequenceAt|-|-|-|-|-|-|-|-|-|-|**11**|SequenceAt|
+|SequenceConstruct|-|-|-|-|-|-|-|-|-|-|**11**|SequenceConstruct|
+|SequenceEmpty|-|-|-|-|-|-|-|-|-|-|**11**|SequenceEmpty|
+|SequenceErase|-|-|-|-|-|-|-|-|-|-|**11**|SequenceErase|
+|SequenceInsert|-|-|-|-|-|-|-|-|-|-|**11**|SequenceInsert|
+|SequenceLength|-|-|-|-|-|-|-|-|-|-|**11**|SequenceLength|
+|Shape|**1**|1|1|1|1|1|1|1|1|1|1|Shape|
+|Shrink|-|-|-|-|-|-|-|-|**9**|9|9|Shrink|
+|Sigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|Sigmoid|
+|Sign|-|-|-|-|-|-|-|-|**9**|9|9|Sign|
+|Sin|-|-|-|-|-|-|**7**|7|7|7|7|Sin|
+|Sinh|-|-|-|-|-|-|-|-|**9**|9|9|Sinh|
+|Size|**1**|1|1|1|1|1|1|1|1|1|1|Size|
+|Slice|**1**|1|1|1|1|1|1|1|1|**10**|**11**|Slice|
+|Softmax|**1**|1|1|1|1|1|1|1|1|1|**11**|Softmax|
+|Softplus|**1**|1|1|1|1|1|1|1|1|1|1|Softplus|
+|Softsign|**1**|1|1|1|1|1|1|1|1|1|1|Softsign|
+|SpaceToDepth|**1**|1|1|1|1|1|1|1|1|1|1|SpaceToDepth|
+|Split|**1**|**2**|2|2|2|2|2|2|2|2|**11**|Split|
+|SplitToSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|SplitToSequence|
+|Sqrt|**1**|1|1|1|1|**6**|6|6|6|6|6|Sqrt|
+|Squeeze|**1**|1|1|1|1|1|1|1|1|1|**11**|Squeeze|
+|StringNormalizer|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|10:small_red_triangle:|StringNormalizer|
+|Sub|**1**|1|1|1|1|**6**|**7**|7|7|7|7|Sub|
+|Sum|**1**|1|1|1|1|**6**|6|**8**|8|8|8|Sum|
+|Tan|-|-|-|-|-|-|**7**|7|7|7|7|Tan|
+|Tanh|**1**|1|1|1|1|**6**|6|6|6|6|6|Tanh|
+|TfIdfVectorizer|-|-|-|-|-|-|-|-|**9**|9|9|TfIdfVectorizer|
+|ThresholdedRelu|-|-|-|-|-|-|-|-|-|**10**|10|ThresholdedRelu|
+|Tile|**1**|1|1|1|1|**6**|6|6|6|6|6|Tile|
+|TopK|**1**|1|1|1|1|1|1|1|1|**10**|**11**|TopK|
+|Transpose|**1**|1|1|1|1|1|1|1|1|1|1|Transpose|
+|Unique|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|Unique|
+|Unsqueeze|**1**|1|1|1|1|1|1|1|1|1|**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\*|Upsample|
+|Where|-|-|-|-|-|-|-|-|**9**|9|9|Where|
+|Xor|**1**|1|1|1|1|1|**7**|7|7|7|7|Xor|
+
+ONNX-TF Supported Operators / ONNX Operators: 149 / 156
+
+Notes:
+1. Cast: Cast string to float32/float64/int32/int64 are not supported in Tensorflow.
+2. Clip: Clip input in uint64 is not supported in Tensorflow.
+3. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
+4. CumSum: CumSum inputs in uint32/uint64 are not supported in Tensorflow.
+5. Equal: Equal inputs in uint16/uint32/uint64 are not supported in Tensorflow.
+6. 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.
+7. LSTM: LSTM not using sigmoid for `f`, or LSTM not using the same activation for `g` and `h` are not supported in Tensorflow.
+8. 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.
+9. Mod: Mod Dividend or Divisor in int8/int16/uint8/uint16/uint32/uint64 are not supported in Tensorflow.
+10. 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.
+11. RNN: RNN with clip is not supported in Tensorflow.
+12. 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.
+13. Upsample: Upsample required 4D input in Tensorflow.