def forward()

in lib/action_head.py [0:0]

• 10 lines of code
• 4 McCabe index (conditional complexity)

    def forward(self, input_data: torch.Tensor, mask=None) -> Any:
        if self.linear_layer is not None:
            flat_out = self.linear_layer(input_data)
        else:
            flat_out = input_data
        shaped_out = flat_out.reshape(flat_out.shape[:-1] + self.output_shape)
        shaped_out /= self.temperature
        if mask is not None:
            shaped_out[~mask] = LOG0

        # Convert to float32 to avoid RuntimeError: "log_softmax_lastdim_kernel_impl" not implemented for 'Half'
        return F.log_softmax(shaped_out.float(), dim=-1)