mirror of https://github.com/commaai/tinygrad.git
added beautiful fashion mnist and example (#6961)
* added beautiful fashion mnist and example * fixing whitespace * refactor Fashion MNIST to fewer lines * fix newline to reduce diff * Update beautiful_mnist.py * Update beautiful_mnist.py --------- Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
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@ -18,7 +18,7 @@ class Model:
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def __call__(self, x:Tensor) -> Tensor: return x.sequential(self.layers)
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def __call__(self, x:Tensor) -> Tensor: return x.sequential(self.layers)
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if __name__ == "__main__":
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if __name__ == "__main__":
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X_train, Y_train, X_test, Y_test = mnist()
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X_train, Y_train, X_test, Y_test = mnist(fashion=getenv("FASHION"))
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model = Model()
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model = Model()
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opt = nn.optim.Adam(nn.state.get_parameters(model))
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opt = nn.optim.Adam(nn.state.get_parameters(model))
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@ -2,8 +2,9 @@ from tinygrad.tensor import Tensor
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from tinygrad.helpers import fetch
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from tinygrad.helpers import fetch
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from tinygrad.nn.state import tar_extract
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from tinygrad.nn.state import tar_extract
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def _mnist(file): return Tensor(fetch("https://storage.googleapis.com/cvdf-datasets/mnist/"+file, gunzip=True))
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def mnist(device=None, fashion=False):
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def mnist(device=None):
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base_url = "http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/" if fashion else "https://storage.googleapis.com/cvdf-datasets/mnist/"
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def _mnist(file): return Tensor(fetch(base_url+file, gunzip=True))
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return _mnist("train-images-idx3-ubyte.gz")[0x10:].reshape(-1,1,28,28).to(device), _mnist("train-labels-idx1-ubyte.gz")[8:].to(device), \
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return _mnist("train-images-idx3-ubyte.gz")[0x10:].reshape(-1,1,28,28).to(device), _mnist("train-labels-idx1-ubyte.gz")[8:].to(device), \
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_mnist("t10k-images-idx3-ubyte.gz")[0x10:].reshape(-1,1,28,28).to(device), _mnist("t10k-labels-idx1-ubyte.gz")[8:].to(device)
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_mnist("t10k-images-idx3-ubyte.gz")[0x10:].reshape(-1,1,28,28).to(device), _mnist("t10k-labels-idx1-ubyte.gz")[8:].to(device)
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