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Introduces the foundational CLI structure and core components for the TinyTorch project. This initial commit establishes the command-line interface (CLI) using `argparse` for training, evaluation, benchmarking, and system information. It also lays out the basic directory structure and essential modules, including tensor operations, autograd, neural network layers, optimizers, data loading, and MLOps components.
8 lines
180 B
Python
Generated
8 lines
180 B
Python
Generated
"""
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Dataset implementations for TinyTorch.
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Common datasets used in machine learning education and research.
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"""
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# Dataset implementations will be added in Chapter 6
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__all__ = [] |