(ctx, run_function, length, *args)
| 32 | class CheckpointFunction(torch.autograd.Function): |
| 33 | @staticmethod |
| 34 | def forward(ctx, run_function, length, *args): |
| 35 | ctx.run_function = run_function |
| 36 | ctx.input_tensors = list(args[:length]) |
| 37 | ctx.input_params = list(args[length:]) |
| 38 | with torch.no_grad(): |
| 39 | output_tensors = ctx.run_function(*ctx.input_tensors) |
| 40 | return output_tensors |
| 41 | |
| 42 | @staticmethod |
| 43 | def backward(ctx, *output_grads): |
nothing calls this directly
no outgoing calls
no test coverage detected