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.github/ISSUE_TEMPLATE/tflite-other.md
- type: input id: Gpu attributes: label: GPU model and memory description: if compiling from source placeholder: validations: required: false - type: textarea id: what-happened attributes: label: Current Behaviour? description: Also tell us, what did you expect to happen? placeholder: Tell us what you see! value: "A bug happened!" render: shell validations: required: true
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code
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ci/official/README.md
# your builds. This usually saves a lot of time, especially when # re-running tests. However, note that: # # - New environments like new CUDA versions, changes to manylinux, # compilers, etc. can cause undefined behavior such as build failures # or tests passing incorrectly. # - Automatic LLVM updates are known to extend build time even with # the cache; this is unavoidable. export TFCI=py311,linux_x86,public_cache,disk_cache
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RELEASE.md
`LSTMStateTuple`. The new behavior leads to proper dropout behavior for LSTMs and stacked LSTMs. This bug fix follows recommendations from published literature, but is a behavioral change. State dropout behavior may be customized via the new `dropout_state_filter_visitor` argument. * Removed `tf.contrib.training.python_input`. The same behavior, in a more
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CODE_OF_CONDUCT.md
## Our Responsibilities Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
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ci/official/envs/enable_pycpp_build
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Changes the behavior in pycpp.sh from "run all tests" to "verify that all # tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Use lld as the linker build --linkopt="-fuse-ld=lld" build --linkopt="-lm" build --linkopt="-Wl,--undefined-version" # Prevent double-compilation of some TF code, ref. b/183279666 (internal)
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # By default, XLA GPU is compiled into tensorflow when building with # --config=cuda even when `with_xla_support` is false. The config setting # 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"], )
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.bazelrc
test:win_clang_xla --linkopt=/FORCE:MULTIPLE test:win_clang_xla --host_linkopt=/FORCE:MULTIPLE # Options to build TensorFlow 1.x or 2.x. # TODO(kanglan): Change v2's define to default behavior build:v2 --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Enable all targets in XLA build:cpu_cross --define=with_cross_compiler_support=true # Disable XLA on mobile.
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