bump(main/python-torch{,audio}): 2.5.0 #21859
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licy183
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twaik
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Ok. import torch
import math
dtype = torch.float
device = torch.device("cpu")
# device = torch.device("cuda:0") # Uncomment this to run on GPU
# Create random input and output data
x = torch.linspace(-math.pi, math.pi, 2000, device=device, dtype=dtype)
y = torch.sin(x)
# Randomly initialize weights
a = torch.randn((), device=device, dtype=dtype)
b = torch.randn((), device=device, dtype=dtype)
c = torch.randn((), device=device, dtype=dtype)
d = torch.randn((), device=device, dtype=dtype)
learning_rate = 1e-6
for t in range(2000):
# Forward pass: compute predicted y
y_pred = a + b * x + c * x ** 2 + d * x ** 3
# Compute and print loss
loss = (y_pred - y).pow(2).sum().item()
if t % 100 == 99:
print(t, loss)
# Backprop to compute gradients of a, b, c, d with respect to loss
grad_y_pred = 2.0 * (y_pred - y)
grad_a = grad_y_pred.sum()
grad_b = (grad_y_pred * x).sum()
grad_c = (grad_y_pred * x ** 2).sum()
grad_d = (grad_y_pred * x ** 3).sum()
# Update weights using gradient descent
a -= learning_rate * grad_a
b -= learning_rate * grad_b
c -= learning_rate * grad_c
d -= learning_rate * grad_d
print(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')So this release is problematic. librosa fails to be compiled because of missing I am not sure I can fix this. |
This does not actually affect the functionality of pytorch.
It seems that you started your python in |
licy183
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Correct. I am not good pythonist, sorry. |
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LGTM. |
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Needs testing on device.
Also needs testing python-torchvision because I have no idea if updating pytorch breaks pytorchvision or not.
Also I tried to update torchvision but failed.
python-torchvision.tar.gz
I have a weird log
It is weird because last version has
torchmodule inpyproject.tomland it did not cause this error.Ping @Biswa96 @fornwall @licy183 @landfillbaby because you commited to the
python-torchvisionpackage.