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ci/official/bisect.sh
# build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job) # TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh # TFCI: The env config path, relative to the TF root dir, e.g.
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ci/official/utilities/get_versions.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Variables containing version strings extracted from the canonical sources: # tensorflow/core/public/version.h and tools/pip_package/setup.py. # # These variables aren't available by default. Scripts must source this file
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tensorflow/c/eager/unified_api_testutil.h
TestScalarTensorHandle<T, datatype>(eager_ctx, value); *tensor = unwrap(TF_CreateAbstractTensorFromEagerTensor(input_eager, status.get())); return absl::OkStatus(); } // Places data from `t` into *result_tensor. Status GetValue(AbstractTensorHandle* t, TF_Tensor** result_tensor); } // namespace tensorflow
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one
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tensorflow/c/c_api_test.cc
TF_Graph* g1 = TF_NewGraph(); TF_Graph* g2 = TF_NewGraph(); TF_Operation* feed = Placeholder(g1, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Attempt to create node in g2 with input from g1 Neg(feed, g2, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)); EXPECT_STREQ("foo", TF_Message(s)); TF_DeleteGraph(g1); TF_DeleteGraph(g2); TF_DeleteStatus(s); } */
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tensorflow/api_template.__init__.py
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. _os.environ["TF2_BEHAVIOR"] = "1" from tensorflow.python import tf2 as _tf2
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tensorflow/c/eager/c_api_unified_experimental.cc
TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(ctx)); if (!tracing_ctx) { tsl::Set_TF_Status_from_Status( s, tensorflow::errors::InvalidArgument( "Only TracingContext can be converted into a function.")); return nullptr; } tsl::Set_TF_Status_from_Status(s, tracing_ctx->Finalize(unwrap(outputs), &func)); TF_DeleteExecutionContext(ctx);
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ci/official/containers/linux_arm64/Dockerfile
COPY apt.conf /etc/apt/ RUN /build_patchelf.sh ################################################################################ FROM nvidia/cuda:12.3.1-devel-ubuntu20.04 as devel ################################################################################ COPY --from=builder /dt10 /dt10 COPY --from=builder /patchelf/patchelf_0.14.3-1_arm64.deb /patchelf/patchelf_0.14.3-1_arm64.deb # Install devtoolset devel dependencies
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configure.py
"""configure script to get build parameters from user.""" import argparse import errno import glob import json import os import platform import re import subprocess import sys # pylint: disable=g-import-not-at-top try: from shutil import which except ImportError: from distutils.spawn import find_executable as which # pylint: enable=g-import-not-at-top
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tensorflow/api_template_v1.__init__.py
import sys as _sys # pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util from tensorflow.python.platform import tf_logging as _logging from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader
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