Applies a 1D max pooling over an input quantized tensor composed of several input planes.
>>> qx = torch.quantize_per_tensor(torch.rand(2, 2), 1.5, 3, torch.quint8)
>>> torch.quantized_max_pool1d(qx, [2])
tensor([[0.0000],
[1.5000]], size=(2, 1), dtype=torch.quint8,
quantization_scheme=torch.per_tensor_affine, scale=1.5, zero_point=3)
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4