The operator should support all optional arguments defined in the interface.
算子应支持接口中定义的所有参数选项。
DDL 提交时间
Please submit a Pull Request within 3 weeks after accepting the assignment.
请于接取任务后三周内提交PR。
Please provide both accuracy test and performance test code.
请同时提供实现正确性测试与性能测试代码。
Description 任务介绍
Develop forward function for conv3d operator. 开发conv3d算子的前向功能。
Requirements 任务要求
Interface 接口
conv3d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1, SymInt groups=1) -> Tensor
Function reference 功能参考 https://pytorch.org/docs/stable/generated/torch.nn.Conv3d.html Implementation reference 实现参考 https://github.com/FlagOpen/FlagGems/blob/7016596a5071a3f2a969e19034e7dae58b699b36/src/flag_gems/ops/conv2d.pyThe operator should support all optional arguments defined in the interface. 算子应支持接口中定义的所有参数选项。
DDL 提交时间
Please submit a Pull Request within 3 weeks after accepting the assignment. 请于接取任务后三周内提交PR。 Please provide both accuracy test and performance test code. 请同时提供实现正确性测试与性能测试代码。