Experiment torch.tensor
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Last edited Mar 21, 2017
Created on Mar 21, 2017
This notebook explores the PyTorch library by listing the attributes of the `torch` module and the `torch.tensor` object, revealing the available classes, functions, and constants. The author also inspects `torch._utils` to understand its internal helpers, noting a discrepancy about a hidden function. The exploration uses simple Python `dir()` calls and string joins within Jupyter cells, with outputs shown as plain text lists. No data visualization is actually created; the "experiment" is purely an API inspection.
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