A scientific python library
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
Theano features:
* tight integration with numpy - Use numpy.ndarray in Theano-compiled functions.
* transparent use of a GPU - Perform data-intensive calculations up to 140x faster than with CPU.(float32 only)
* symbolic differentiation - Let Theano do your derivatives.
* speed and stability optimizations - Get the right answer for log(1+x) even when x is really tiny.
* dynamic C code generation - Evaluate expressions faster.
* extensive unit-testing and self-verification - Detect and diagnose many types of mistake.
Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
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Source Files
| Filename | Size | Changed |
|---|---|---|
| Theano-1.0.4.tar.gz | 0002840691 2.71 MB | |
| _constraints | 0000000132 132 Bytes | |
| _multibuild | 0000000053 53 Bytes | |
| python-Theano.changes | 0000004425 4.32 KB | |
| python-Theano.rpmlintrc | 0000000208 208 Bytes | |
| python-Theano.spec | 0000003911 3.82 KB |
Revision 3 (latest revision is 4)
Yuchen Lin (maxlin_factory)
accepted
request 779468
from
Tomáš Chvátal (scarabeus_iv)
(revision 3)
- Reduce the test scope as it takes a day to compile the full testsuite, just run the generic test directory - Do install test files again as it fixes Keras testing - Skip tests that are known failures - Do not install test files and sitelib/bin folder - As the testing takes ages split to multibuild and reduce the arch testing scope - Add _constraints to make sure we have enough memory for the testing - Enable Theano testing and add missing build/runtime deps - specfile: * update copyright year - update to version 1.0.4: * Theano is now compatible with NumPy 1.16. - Trim comparison that has no reference model named.
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