- 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.maxpool3dandtorch.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.conv2dandtorch.nn.functional.conv3d
- Added converter for
torch.Tensor.expand - Added support for custom converters for methods defined outside of
torchmodule - 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.tensoroperations - Extended
reluconverter to supportTensor.reluoperation - Extended
sigmoidconverter to supportTensor.sigmoidoperation