Hi，I have a question about this.Here is the code for my training phase.
I want to get the weight parameters of the first level convolution，
for epoch in range(EPOCH): 
    NET.train()
    torch.manual_seed(3)
    print('Epoch:', epoch + 1, 'Training...') 
    for i, (batch_x, batch_y) in enumerate(loader): 
        batch_x=Variable(batch_x)
        output = NET(batch_x)
        loss = lossfunc(output, batch_y)  
        loss.backward()
        optimizer.step()
        wc_loss.append(loss.data)   
        print('Epoch: ', epoch, '| Step: ', i, '| loss: ',wc_loss[i])        
        for name, param in NET.named_parameters():
            if 'network.0.conv1.weight_v' in name:
                parm[name]=param.detach().numpy()  
                b.append(parm['network.0.conv1.weight_v'])  

but the result of 【b】is always repeated,same result every updata，like this.（note：The first convolution layer is conv1d,
conv1d(1,3,kernel=3)）
[array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
 array([[[-11.6726265 ,  12.326811  ,  12.306071  ]],
 
        [[  0.4224267 ,  -0.21204475,  -0.07533604]],
 
        [[ 11.559458  ,  11.859747  ,  12.272797  ]]], dtype=float32),
......
......

However, the value of 【loss】 decreased normally.I don’t know why the value of the weight 【b】 is not updated.