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Copy file name to clipboardExpand all lines: DESCRIPTION.txt
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Pytensor is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_. Pytensor features:
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PyTensor is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_. PyTensor features:
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* **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in Pytensor-compiled functions.
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* **efficient symbolic differentiation:** Pytensor can compute derivatives for functions of one or many inputs.
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* **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in PyTensor-compiled functions.
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* **efficient symbolic differentiation:** PyTensor can compute derivatives for functions of one or many inputs.
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* **speed and stability optimizations:** avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.
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* **dynamic C code generation:** evaluate expressions faster.
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* **extensive unit-testing and self-verification:** includes tools for detecting and diagnosing bugs and/or potential problems.
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