- Added support for TensorRT 8
- Added converter for
torch.nn.functional.adaptive_avg_pool3d
- Added converter for
torch.nn.functional.adaptive_max_pool3d
- Added converter for
torch.maxpool3d
andtorch.nn.functional.max_pool3d
- Added Quantization Aware Training (QAT) workflow to contrib
- Added converter for
torch.roll
- Added converter for
torch.nn.functional.layer_norm
- Added converter for
torch.nn.functional.gelu
- Added converter for
torch.nn.functional.linear
- Added converter for
torch.nn.functional.silu
- Added converter for
torch.Tensor.flatten
- Added converter for
torch.nn.functional.conv2d
andtorch.nn.functional.conv3d
- Added converter for
torch.Tensor.expand
- Added support for custom converters for methods defined outside of
torch
module - Added names for TensorRT layers
- Added GroupNorm plugin which internally uses PyTorch aten::group_norm
- Replaced Tensor.ndim references with len(tensor.shape) to support older pytorch versions
- Added reduced precision documentation page
- Added converters for
floordiv
,mod
,ne
, andtorch.tensor
operations - Extended
relu
converter to supportTensor.relu
operation - Extended
sigmoid
converter to supportTensor.sigmoid
operation