pytorch .stack final shape after .squeeze
I had a pandas dataframe 200 columns by 2500 rows which I made it into a tensor 

tensor = torch.tensor(df.values)
tensor.size() =&gt; ([2500,200])


which i chunked and enumerated

list=[]
for i,chunk in enumerate(tensor.chunk(100,dim=0))
    chunk.size =&gt;([25,200])
    output = hiddenlayer(chunks)
    output.size() =&gt; ([25,1])
    list += output


chunks were fed through some layers and outputted as 1 feature tensors. So now I have a list of 100 tensors, each with 25 blocks of 1, 100x25x1

so i 

stacked = torch.stack(list, 1).squeeze(2)
stacked.size()=([25,100])


I've played around with the stacking and squeezing but i can't seem to get back to ([2500,1]) which is what I want. Am I missing something? If you could quickly help me understand what stacking and squeezing is doing and why it's not working for me I'd be forever in your debt! Thanks

Renaming list to tensor_list since it's bad practice to use reserved keywords as variable names.

tensor_list =[]
for i,chunk in enumerate(tensor.chunk(100,dim=0)):
    output = hiddenlayer(chunk).squeeze()
    tensor_list.append(output)

result = torch.reshape(torch.stack(tensor_list,0), (-1, 1))


result.size() should now return torch.Size([2500, 1])
