Install error: PyTorch does not currently provide packages for PyPI

[perryprog]

I'm just getting into machine learning, and I wanted to try converting something into the coreml format. I wrote a very simple torch program which (not complete, I don't have access to the latest one right now) was something like this:

import numpy as np
import torch
from torch.autograd import Variable
model = torch.nn.Linear(1, 1)
loss_fn = torch.nn.MSELoss(size_average=False)
optimizer = torch.optim.SGD(model.parameters(), lr=0.01)
for t in range(10000):
    x = Variable(torch.from_numpy(np.random.random((1,1)).astype(np.float32)))
    y = x * 3
    y_pred = model(x)
    loss = loss_fn(y_pred, y)
    optimizer.zero_grad()
    loss.backward()
    optimizer.step()
    print loss.data[0]

torch.save... # some more code here

Then I installed Anaconda and PyTorch, along with coremltools, but when I run pip2 install -U torch2coreml I get the error:

Collecting torch2coreml
  Using cached torch2coreml-0.2.0-py2.7-none-any.whl
Collecting torch (from torch2coreml)
  Using cached torch-0.1.2.post1.tar.gz
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/private/var/folders/_5/xy3fwjvx6h9fj8my9t_lnl_c0000gn/T/pip-build-EpKgGE/torch/setup.py", line 11, in <module>
        raise RuntimeError(README)
    RuntimeError: PyTorch does not currently provide packages for PyPI (see status at https://github.com/pytorch/pytorch/issues/566).

    Please follow the instructions at http://pytorch.org/ to install with miniconda instead.


    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /private/var/folders/_5/xy3fwjvx6h9fj8my9t_lnl_c0000gn/T/pip-build-EpKgGE/torch/

I'm probably making some silly mistake here, so any help is appreciated. Thanks!

[perryprog]

Full code:

import numpy as np
import torch
from torch.autograd import Variable
model = torch.nn.Linear(1, 1)
loss_fn = torch.nn.MSELoss(size_average=False)
optimizer = torch.optim.SGD(model.parameters(), lr=0.01)
for t in range(10000):
    x = Variable(torch.from_numpy(np.random.random((1,1)).astype(np.float32)))
    y = x * 3
    y_pred = model(x)
    loss = loss_fn(y_pred, y)
    optimizer.zero_grad()
    loss.backward()
    optimizer.step()
    print(loss.data[0])

print("-----------")
print(model(Variable(torch.from_numpy(np.array([[3.0]]).astype(np.float32)))))
print("-----------")
print("saving...")
torch.save(model.state_dict(), "multiply.nn")

[opedge]

This repo contains code to translate torch7 models to coreml, but not pytorch. PyTorch is used here only to load torch7 model (it's "legacy" package has functions to load lua models to python). If you want to convert pure pytorch model (not legacy) you need to write your own tool for this task.
To install pytorch you need to go to http://pytorch.org/ and follow instructions there.
BTW, I'm planning to release the new tool for pytorch model conversion soon.
Thanks!