forked from tinygrad/tinygrad
fix mnist load from other dirs
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@@ -1,3 +1,4 @@
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import os
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import io
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import numpy as np
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import gzip
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@@ -7,10 +8,10 @@ from extra.utils import fetch
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def fetch_mnist():
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parse = lambda file: np.frombuffer(gzip.open(file).read(), dtype=np.uint8).copy()
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X_train = parse("datasets/mnist/train-images-idx3-ubyte.gz")[0x10:].reshape((-1, 28*28)).astype(np.float32)
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Y_train = parse("datasets/mnist/train-labels-idx1-ubyte.gz")[8:]
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X_test = parse("datasets/mnist/t10k-images-idx3-ubyte.gz")[0x10:].reshape((-1, 28*28)).astype(np.float32)
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Y_test = parse("datasets/mnist/t10k-labels-idx1-ubyte.gz")[8:]
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X_train = parse(os.path.dirname(__file__)+"/mnist/train-images-idx3-ubyte.gz")[0x10:].reshape((-1, 28*28)).astype(np.float32)
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Y_train = parse(os.path.dirname(__file__)+"/mnist/train-labels-idx1-ubyte.gz")[8:]
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X_test = parse(os.path.dirname(__file__)+"/mnist/t10k-images-idx3-ubyte.gz")[0x10:].reshape((-1, 28*28)).astype(np.float32)
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Y_test = parse(os.path.dirname(__file__)+"/mnist/t10k-labels-idx1-ubyte.gz")[8:]
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return X_train, Y_train, X_test, Y_test
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def fetch_cifar():
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