e89329d6657e0dbc35d93f663363141ac2da5cdb,fairseq/modules/linearized_convolution.py,LinearizedConvolution,forward,#LinearizedConvolution#Any#Any#,29

Before Change

                input_buffer[:, :-1, :] = input_buffer[:, 1:, :].clone()
            // append next input
            input_buffer[:, -1, :] = input[:, -1, :]
            input = utils.volatile_variable(input_buffer)
        with utils.maybe_no_grad():
            output = F.linear(input.view(bsz, -1), weight, self.bias)
        return output.view(bsz, 1, -1)

After Change

            // append next input
            input_buffer[:, -1, :] = input[:, -1, :]
            input = input_buffer
        with torch.no_grad():
            output = F.linear(input.view(bsz, -1), weight, self.bias)
        return output.view(bsz, 1, -1)

Instances