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common/config/.golangci.yml
# can use regexp here: generated.*, regexp is applied on full path; # default value is empty list, but next dirs are always skipped independently # from this option's value: # vendor$, third_party$, testdata$, examples$, Godeps$, builtin$ skip-dirs: - genfiles$ - vendor$ # which files to skip: they will be analyzed, but issues from them # won't be reported. Default value is empty list, but there is
Others - Registered: Wed Mar 27 22:53:09 GMT 2024 - Last Modified: Fri Mar 22 13:25:22 GMT 2024 - 11.4K bytes - Viewed (0) -
docs/en/docs/alternatives.md
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RELEASE.md
`_tpu_estimator_embedding.py`. This allows embedding lookup statistics gathered at runtime to be used in embedding layer partitioning decisions. * PluggableDevice * Third-party devices can now connect to TensorFlow as plug-ins through [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md). and
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.space/CODEOWNERS
/resources/ "Kotlin Build Infrastructure" # UNKNOWN: /spec-docs/ /scripts/ "Kotlin Build Infrastructure" /test-instrumenter/ "Kotlin Build Infrastructure" /tests/ "Kotlin Build Infrastructure" /third-party/ "Kotlin Compiler Core" /wasm/ "Kotlin Wasm" # Generated files (no review required) *Generated.java "Kotlin" "Kotlin IDE Analysis Core" # Singular files /.gitattributes "Kotlin Build Infrastructure"
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.bazelrc
# dynamic_kernels: Try to link all kernels dynamically (experimental). # dbg: Build with debug info # # TF version options; # v2: Build TF v2 # # Feature and Third party library support options: # xla: Build TF with XLA # tpu: Build TF with TPU support # cuda: Build with CUDA support. # cuda_clang Build with CUDA Clang support.
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docs/en/docs/release-notes.md
The focus of this release is **compatibility** with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then **performance** improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of **2x - 3x**. Which is not bad for just doing `pip install --upgrade fastapi pydantic`. This was not an official benchmark and I didn't check it myself,...
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