[torch][quant] Support quantize and dequantize for torch #2731
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rsuderman
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Handle both `torch.dequantize` and `torch.quantize_per_tensor` including the op based quantization parameter tracking. This includes adding `qint32` to torch types as it was missing during the initial type inclusion. For testing we only have `torch.int8` and `torch.float` types on function boundaries as the `qint8` types require passing the scale and zero point quantization information which is not supported yet.
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qedawkins
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Jan 12, 2024
projects/pt1/python/torch_mlir_e2e_test/test_suite/elementwise.py
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Handle both
torch.dequantizeandtorch.quantize_per_tensorincludingthe op based quantization parameter tracking. This includes adding
qint32to torch types as it was missing during the initial typeinclusion.
For testing we only have
torch.int8andtorch.floattypes onfunction boundaries as the
qint8types require passing the scaleand zero point quantization information which is not supported yet.