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ci/official/utilities/rename_and_verify_wheels.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Usage: rename_and_verify_wheels.sh # This script is aware of TFCI_ variables, so it doesn't need any arguments. # Puts new wheel through auditwheel to rename and verify it, deletes the old # one, checks the filesize, and then ensures the new wheel is installable.
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 21:16:27 GMT 2024 - 3.4K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Check and rename wheels with auditwheel. Inserts the platform tags like # "manylinux_xyz" into the wheel filename. set -euxo pipefail for wheel in /tf/pkg/*.whl; do echo "Checking and renaming $wheel..."
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 19:00:37 GMT 2023 - 1.3K bytes - Viewed (0) -
ci/official/wheel_test/README.md
file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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tensorflow/c/checkpoint_reader.h
// Attempts to look up the tensor named "name" and stores the found result in // "out_tensor". void GetTensor(const string& name, std::unique_ptr<tensorflow::Tensor>* out_tensor, TF_Status* out_status) const; private: // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type" // maps; both owned by caller.
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tensorflow/c/c_api_internal.h
}; #endif // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) namespace tensorflow { // Set the shapes and types of the output's handle. // // The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must // all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the // rank is known), then it must be equal to the length of `shapes[i]`; if
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tensorflow/c/eager/unified_api_testutil.h
#include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Builds and returns a `TracingContext` using the default tracing impl. AbstractContext* BuildFunction(const char* fn_name); // Creates parameters (placeholders) in the tracing `ctx` using the shape and // dtype of `inputs`. Status CreateParamsForInputs(AbstractContext* ctx,
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tensorflow/c/eager/c_api_unified_experimental_test.cc
* my_add2 = b + b * return my_add1, my_add2 * * Now we will execute this function with an eager context: * * output1, output2 = two_adds(2.0, 3.0) * * and check that we got 5.0 and 6.0 as results. */ // Build eager context. TFE_ContextOptions* opts = TFE_NewContextOptions(); TFE_ContextOptionsSetTfrt(opts, std::get<1>(GetParam()));
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.github/ISSUE_TEMPLATE/tflite-other.md
markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown attributes: value: |
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tensorflow/c/experimental/grappler/grappler_internal.h
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ // Classes and utilities that work with Graph C API for internal use. // This includes functions used for optimizer registration and interfaces needed // for testing. #ifndef TENSORFLOW_C_EXPERIMENTAL_GRAPPLER_GRAPPLER_INTERNAL_H_
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
} TF_SetStatus(status, TF_OK, ""); return bytes_transferred; }; for (size_t block_size = 2; block_size <= 4; block_size++) { // Make a cache of N-byte block size (1 block) and verify that reads of // varying offsets and lengths return correct data. tf_gcs_filesystem::RamFileBlockCache cache(block_size, block_size, 0, fetcher);
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