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shahirdayachinhuang007
shahirdaya
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chinhuang007
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Implemented Opset 13 for Add, Ceil, Erf, Exp, and Floor operators. (#757)
No additional tests were required as in all of these operators, the only change is support for bfloat16 which the corresponding TF operators support. Add: from Opset 7 to 13 only difference is bfloat16 support. TF doc indicated bfloat16 support and I tested to confirm that it works. Ceil: from Opset 6 to 13 only difference is bfloat16 support. TF doc indicated bfloat16 support and I tested to confirm that it works. Erf: from Opset 9 to 13 only difference is bfloat16 support. TF doc indicated bfloat16 support and I tested to confirm that it works. Exp: from Opset 6 to 13 only difference is bfloat16 support. TF doc indicated bfloat16 support and I tested to confirm that it works. Floor: from Opset 6 to 13 only difference is bfloat16 support. TF doc indicated bfloat16 support and I tested to confirm that it works. Co-authored-by: Chin Huang <[email protected]>
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‎doc/support_status.md

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# ONNX-Tensorflow Support Status
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|-:|:-|
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|ONNX-Tensorflow Version|Master ( commit id: 00882389ef7c551cbd4d783c4a50db2b0f12372c )|
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|ONNX-Tensorflow Version|Master ( commit id: 7d8fa7d88fab469253d75e5e11cf9cdcb90104c4 )|
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|ONNX Version|1.7.0|
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|Tensorflow Version|v2.3.0|
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|Abs|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**:small_red_triangle:|Abs|
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|Acos|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Acos|
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|Acosh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Acosh|
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|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**:small_red_triangle:|Add|
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|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**|Add|
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|And|**1**|1|1|1|1|1|**7**|7|7|7|7|7|7|And|
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|ArgMax|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|**13**|ArgMax|
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|ArgMin|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|**13**|ArgMin|
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|BatchNormalization|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|9|9|BatchNormalization|
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|BitShift|-|-|-|-|-|-|-|-|-|-|**11**|11|11|BitShift|
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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:|9:small_orange_diamond:|**13**:small_orange_diamond:|Cast|
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|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**:small_red_triangle:|Ceil|
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|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Ceil|
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|Celu|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|12:small_red_triangle:|Celu|
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|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:|**13**:small_orange_diamond:|Clip|
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|Compress|-|-|-|-|-|-|-|-|**9**|9|**11**|11|11|Compress|
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|Einsum|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|12:small_red_triangle:|Einsum|
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|Elu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|Elu|
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|Equal|**1**|1|1|1|1|1|**7**|7|7|7|**11**|11|**13**|Equal|
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|Erf|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**:small_red_triangle:|Erf|
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|Exp|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**:small_red_triangle:|Exp|
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|Erf|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**|Erf|
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|Exp|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Exp|
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|Expand|-|-|-|-|-|-|-|**8**|8|8|8|8|**13**:small_red_triangle:|Expand|
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|EyeLike|-|-|-|-|-|-|-|-|**9**|9|9|9|9|EyeLike|
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|Flatten|**1**|1|1|1|1|1|1|1|**9**|9|**11**|11|**13**:small_red_triangle:|Flatten|
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|Floor|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**:small_red_triangle:|Floor|
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|Floor|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Floor|
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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:|7:small_orange_diamond:|7:small_orange_diamond:|GRU|
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|Gather|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|Gather|
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|GatherElements|-|-|-|-|-|-|-|-|-|-|**11**|11|**13**:small_red_triangle:|GatherElements|
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|HardSigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|HardSigmoid|
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|Hardmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|Hardmax|
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|Identity|**1**|1|1|1|1|1|1|1|1|1|1|1|**13**:small_red_triangle:|Identity|
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|If|**1**|1|1|1|1|1|1|1|1|1|**11**|11|11|If|
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|If|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|If|
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|InstanceNormalization|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|InstanceNormalization|
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|IsInf|-|-|-|-|-|-|-|-|-|**10**|10|10|10|IsInf|
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|IsNaN|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**:small_red_triangle:|IsNaN|
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|LessOrEqual|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|12:small_red_triangle:|LessOrEqual|
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|Log|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**:small_red_triangle:|Log|
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|LogSoftmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|LogSoftmax|
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|Loop|**1**|1|1|1|1|1|1|1|1|1|**11**|11|11|Loop|
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|Loop|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|Loop|
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|LpNormalization|**1**|1|1|1|1|1|1|1|1|1|1|1|1|LpNormalization|
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|LpPool|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|11|LpPool|
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|MatMul|**1**|1|1|1|1|1|1|1|**9**|9|9|9|**13**:small_red_triangle:|MatMul|
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|Where|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Where|
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|Xor|**1**|1|1|1|1|1|**7**|7|7|7|7|7|7|Xor|
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ONNX-TF Supported Operators / ONNX Operators: 86 / 162
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ONNX-TF Supported Operators / ONNX Operators: 89 / 162
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Notes:
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1. Cast: Cast string to data types other than float32/float64/int32/int64 is not supported in Tensorflow

‎onnx_tf/handlers/backend/add.py

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@classmethod
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def version_7(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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@classmethod
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def version_13(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]

‎onnx_tf/handlers/backend/ceil.py

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@classmethod
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def version_6(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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@classmethod
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def version_13(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]

‎onnx_tf/handlers/backend/erf.py

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@classmethod
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def version_9(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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@classmethod
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def version_13(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]

‎onnx_tf/handlers/backend/exp.py

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@classmethod
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def version_6(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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@classmethod
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def version_13(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]

‎onnx_tf/handlers/backend/floor.py

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@classmethod
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def version_6(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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@classmethod
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def version_13(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]

‎onnx_tf/opset_version.py

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'Acosh': [9],
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'Adagrad': [],
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'Adam': [],
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'Add': [1, 6, 7],
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'Add': [1, 6, 7, 13],
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'And': [1, 7],
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'ArgMax': [1, 11, 12, 13],
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'ArgMin': [1, 11, 12, 13],
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'Cast': [1, 6, 9, 13],
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'CastMap': [],
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'CategoryMapper': [],
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'Ceil': [1, 6],
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'Ceil': [1, 6, 13],
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'Celu': [],
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'Clip': [1, 6, 11, 12, 13],
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'Compress': [9, 11],
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'Einsum': [],
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'Elu': [1, 6],
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'Equal': [1, 7, 11, 13],
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'Erf': [9],
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'Exp': [1, 6],
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'Erf': [9, 13],
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'Exp': [1, 6, 13],
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'Expand': [8],
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'EyeLike': [9],
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'FeatureVectorizer': [],
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'Flatten': [1, 9, 11],
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'Floor': [1, 6],
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'Floor': [1, 6, 13],
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'GRU': [1, 3, 7],
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'Gather': [1, 11],
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'GatherElements': [11],
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'GlobalLpPool': [1, 2],
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'GlobalMaxPool': [1],
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'Gradient': [],
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'GraphCall': [],
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'Greater': [1, 7, 9],
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'GreaterOrEqual': [],
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'HardSigmoid': [1, 6],

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