Merge master into features/pytorch-device
#683
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- torch.nn.functional.sigmoid is deprecated in favor of torch.sigmoid. - Clip cosh input in sechsq to avoid overflow.
* Replace use of gpu_is_available with has_cupy_gpu This PR is in preparation of better non-CUDA device support. Once we support non-CUDA GPUs, there may be GPUs available that are not 'CuPy GPUs'. In all places where we use `gpu_is_available` we actually mean: is 'CuPy available with a CUDA GPU'? So, this PR replaces uses of `gpu_is_available` to `has_cupy_gpu`. This allows us to use `gpu_is_available` in the future to check if any GPU is available. In addition to that, some code had expressions like ``` has_cupy and gpu_is_available() ``` This PR simplify such conditions to `has_cupy_gpu`, since `has_cupy_gpu` implies that `has_cupy`. * Remove unused import * Improve error message when no CUDA GPU is found * Fix another error message when no CUDA GPU is found
…#680) * `test_to_categorical`: Ensure that `label_smoothing < 0.5` * Use `exclude_max` instead of clamping to `0.49`
…sion#681) * test_ops: do not lower precision in conversion to Torch tensor float64 test values close to zero were rounded by conversion to a float32 Torch tensor, resuling in mismatches between Thinc and Torch gradients. This change prevents the loss in precision. * test_ops: compare arrays on same device in Torch comparison * test_maxout: compare arrays with same precision
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@explosion-bot please test_gpu |
URL: https://buildkite.com/explosion-ai/thinc-gpu-test-suite/builds/74 |
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