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Bump thinc from 6.10.0 to 7.0.2 #166

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Bumps thinc from 6.10.0 to 7.0.2.

Release notes

Sourced from thinc's releases.

v7.0.2: Fix regression in linear model class

🔴 Bug fixes

  • Fix regression in thinc.linear.LinearModel class.

v7.0.1: Fix import errors

🔴 Bug fixes

  • Fix import errors introduced when dropping dependencies in v7.0.0.

v7.0.0: Overhaul package dependencies

⚠️ Backwards incompatibilities

  • Thinc v7.0 drops support for Python 2.7 on Windows. Python 2.7 remains supported on Linux and OSX. Support could be restored in future. We're currently unable to build our new dependency, blis, for Windows on Python 2.7. If you can assist with this, please let us know.

✨ New features and improvements

  • Use blis for matrix multiplication. Previous versions delegated matrix multiplication to platform-specific libraries via numpy. This led to inconsistent results, especially around multi-threading. We now provide a standalone package, with the Blis linear algebra routines. Importantly, we've built Blis to be single-threaded. This makes it much easier to do efficient inference, as the library will no longer spawn threads underneath you.

  • Use srsly for serialization. We now provide a single package with forks of our preferred serialisation libraries – specifically, msgpack, ujson and cloudpickle. This allows us to provide a single binary wheel for these dependencies, and to maintain better control of our dependency tree, preventing breakages.

  • Update versions of cymem, preshed and murmurhash. Thinc is compiled against our memory pool and hash table libraries, cymem and preshed. Changing these build-time dependencies requires Thinc to be recompiled. This is one reason the major version number needed to be incremented for this release.

v6.12.1: Fix messagepack pin

🔴 Bug fixes

v6.12.0: Wheels and separate GPU ops

✨ New features and improvements

  • Update dependencies to be able to provide binary wheels.
  • Move GPU ops to separate package, thinc_gpu_ops.
  • Support pip specifiers for GPU installation, e.g. pip install thinc[cuda92].

🔴 Bug fixes

  • Update murmurhash pin to accept newer version.

v6.11.2: Improve GPU installation

✨ New features and improvements

You can now require GPU capability using the pip "extras" syntax. Thinc also now expects CUDA to be installed at /usr/local/cuda by default. If you've installed it elsewhere, you can specify the location with the CUDA_HOME environment variable. Once Thinc is able to find CUDA, you can tell pip to install Thinc with cupy, as follows:

  • thinc[cuda]: Install cupy from source (compatible with a range of cuda versions)
  • thinc[cuda80]: Install the cupy-cuda80 wheel
  • thinc[cuda90]: Install the cupy-cuda90 wheel
  • thinc[cuda91]: Install the cupy-cuda91 wheel
... (truncated)
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Bumps [thinc](https://github.com/explosion/thinc) from 6.10.0 to 7.0.2.
- [Release notes](https://github.com/explosion/thinc/releases)
- [Commits](explosion/thinc@v6.10.0...v7.0.2)

Signed-off-by: dependabot[bot] <support@dependabot.com>
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Superseded by #180.

@dependabot-preview dependabot-preview bot deleted the dependabot/pip/thinc-7.0.2 branch March 15, 2019 10:13
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