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ci/official/wheel_test/README.md
description will be provided once it's integrated into presubmit. ### test_import_api_packages This Python test verifies whether the API v2 packages can be imported from the current build. It utilizes the `_api/v2/api_packages.txt` list of packages from the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime.
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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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tensorflow/c/checkpoint_reader.cc
if (!v2_reader_->status().ok()) { tsl::Set_TF_Status_from_Status(status, v2_reader_->status()); return; } auto result = BuildV2VarMaps(); var_to_shape_map_.swap(result.first); var_to_data_type_map_.swap(result.second); } else { reader_.reset(new TensorSliceReader(filename)); if (!reader_->status().ok()) { tsl::Set_TF_Status_from_Status(status, reader_->status()); return; }
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tensorflow/c/checkpoint_reader.h
bool HasTensor(const string& name) const; const string DebugString() const; // Returns a map from variable names to their shapes. Slices of a partitioned // tensor are combined into a single entry. const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const; // Returns a map from variable names to their data types. Slices of a // partitioned tensor are combined into a single entry.
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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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tensorflow/c/experimental/filesystem/modular_filesystem.cc
#include "tensorflow/core/platform/env.h" #include "tensorflow/core/platform/file_system_helper.h" #include "tsl/platform/errors.h" // TODO(b/139060984): After all filesystems are converted, all calls to // methods from `FileSystem` will have to be replaced to calls to private // methods here, as part of making this class a singleton and the only way to // register/use filesystems. namespace tensorflow { using UniquePtrTo_TF_Status =
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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/c/eager/c_api_test.cc
TFE_TensorHandleCopyToDevice(hcpu, ctx, name.c_str(), status.get()); if (TF_GetCode(status.get()) != TF_OK) { ADD_FAILURE() << tag << " -- " << TF_Message(status.get()); continue; } // Copy from device to the same device. TFE_TensorHandle* hdevice2 = TFE_TensorHandleCopyToDevice(hdevice, ctx, name.c_str(), status.get()); if (TF_GetCode(status.get()) != TF_OK) {
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