Reduce spsr7 memory usage
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@ -539,20 +539,20 @@ class Spsr7(nn.Module):
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x_grad = self.grad_conv(x_grad)
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x_grad_identity = x_grad
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x_grad, grad_fea_std = self.grad_ref_join(x_grad, x1)
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x_grad, grad_fea_std = checkpoint(self.grad_ref_join, x_grad, x1)
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x_grad, a3 = self.sw_grad(x_grad, True, identity=x_grad_identity, att_in=(x_grad, ref_embedding))
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x_grad = self.grad_lr_conv(x_grad)
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x_grad = self.grad_lr_conv2(x_grad)
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x_grad_out = self.upsample_grad(x_grad)
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x_grad_out = self.grad_branch_output_conv(x_grad_out)
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x_grad = checkpoint(self.grad_lr_conv, x_grad)
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x_grad = checkpoint(grad_lr_conv2, x_grad)
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x_grad_out = checkpoint(self.upsample_grad, x_grad)
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x_grad_out = checkpoint(self.grad_branch_output_conv, x_grad_out)
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x_out = x2
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x_out, fea_grad_std = self.conjoin_ref_join(x_out, x_grad)
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x_out, a4 = self.conjoin_sw(x_out, True, identity=x2, att_in=(x_out, ref_embedding))
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x_out = self.final_lr_conv(x_out)
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x_out = checkpoint(self.final_lr_conv, x_out)
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x_out = checkpoint(self.upsample, x_out)
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x_out = checkpoint(self.final_hr_conv1, x_out)
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x_out = self.final_hr_conv2(x_out)
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x_out = checkpoint(self.final_hr_conv2, x_out)
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self.attentions = [a1, a2, a3, a4]
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self.grad_fea_std = grad_fea_std.detach().cpu()
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