Added iris classification example workflow as well as data type conversion nodes.
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| [Pt Le](pt_le.md) | Tests whether elements in the first PyTorch tensor are less than or equal to the corresponding elements in the second tensor. |
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| [Pt Lt](pt_lt.md) | Tests whether elements in the first PyTorch tensor are less than the corresponding elements in the second tensor. |
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| [Pt Ne](pt_ne.md) | Tests whether two PyTorch tensors are not equal element-wise. |
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## PyTorch wrapper - Data type conversion
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| Node | Description |
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| --- | --- |
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| [Pt To Bfloat](pt_to_bfloat16.md) | Converts the input tensor's data type to bfloat16. |
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| [Pt To Float](pt_to_float16.md) | Converts the input tensor's data type to float16. |
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| [Pt To Float](pt_to_float32.md) | Converts the input tensor's data type to float32. |
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| [Pt To Float](pt_to_float64.md) | Converts the input tensor's data type to float64. |
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| [Pt To Int](pt_to_int16.md) | Converts the input tensor's data type to int16. |
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| [Pt To Int](pt_to_int32.md) | Converts the input tensor's data type to int32. |
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| [Pt To Int](pt_to_int64.md) | Converts the input tensor's data type to int64. |
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| [Pt To Int](pt_to_int8.md) | Converts the input tensor's data type to int8. |
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| [Pt To Uint](pt_to_uint8.md) | Converts the input tensor's data type to uint8. |
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## PyTorch wrapper - Image processing
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| Node | Description |
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| --- | --- |
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