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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --copt=-Wno-gnu-offsetof-extensions # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014
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ci/official/pycpp.sh
fi # Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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tensorflow/BUILD
# here allows us to override the behavior if needed. config_setting( name = "no_xla_deps_in_cuda", define_values = {"no_xla_deps_in_cuda": "true"}, visibility = ["//visibility:public"], ) # Crosses between framework_shared_object and a bunch of other configurations # due to limitations in nested select() statements. config_setting( name = "framework_shared_object",
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RELEASE.md
decorator. * Added a `tf.keras.layers.experimental.preprocessing.HashedCrossing` layer which applies the hashing trick to the concatenation of crossed scalar inputs. This provides a stateless way to try adding feature crosses of integer or string data to a model. * Removed `keras.layers.experimental.preprocessing.CategoryCrossing`. Users should migrate to the `HashedCrossing` layer or use
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