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ci/official/utilities/get_versions.sh
# nightly job. update_version.py affects TF_VER_SUFFIX, TF_VER_PYTHON, and # TF_VER_FULL. # Note: in awk, the command '/search/ {commands}' applies the commands to any line that # matches the /search/ regular expression. "print $N" prints the Nth "field", # where fields are strings separated by whitespace. export TF_VER_MAJOR=$(awk '/#define TF_MAJOR_VERSION/ {print $3}' tensorflow/core/public/version.h)
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2.3K bytes - Viewed (0) -
CONTRIBUTING.md
```bash export flags="--config=opt -k" ``` If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and add the `cuda` option flag ```bash export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" export flags="--config=opt --config=cuda -k" ``` For example, to run all tests under tensorflow/python, do:
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tensorflow/c/eager/immediate_execution_tensor_handle.cc
} Status ImmediateExecutionTensorHandle::SummarizeValue( std::string& summary) const { Status status; AbstractTensorPtr resolved( // TODO(allenl): Resolve should be const, and the caches that get updated // marked mutable. const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status)); if (!status.ok()) { return status; } summary = resolved->SummarizeValue();
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ci/official/requirements_updater/README.md
updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed requirements file for each version, with hashes specified for each dependency required, as well as their sub-dependencies. ### How to update/add requirements By default, the name of the base requirements file is `requirements.in`, but it
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ci/official/README.md
`TFCI` env param pointing to a list of `env` files. 2. `utilities/setup.sh`, initialized by all top-level scripts, reads and sets values from those `TFCI` paths. - `set -a` / `set -o allexport` exports the variables from `env` files so all scripts can use them. - `utilities/setup_docker.sh` creates a container called `tf` with all
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tensorflow/c/eager/dlpack.cc
// TFE_NewTensorHandleFromDeviceMemory. void DeallocatorWrapperFunc(void* data, size_t len, void* dlmt_vptr) { TFE_CallDLManagedTensorDeleter(dlmt_vptr); } // Checks whether the stride array matches the layout of compact, row-majored // data. bool IsValidStrideCompactRowMajorData(int64_t* shape_arr, int64_t* stride_arr, int ndim) { bool valid = true;
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tensorflow/c/eager/c_api_experimental.h
#include "tensorflow/c/eager/c_api.h" #ifdef __cplusplus extern "C" { #endif // Resets `op_to_reset` with `op_or_function_name` and `raw_device_name`. This // is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse
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RELEASE.md
GRU(recurrent_activation='hard_sigmoid', reset_after=False) to fallback to 1.x behavior. * `CUDNN_INSTALL_PATH`, `TENSORRT_INSTALL_PATH`, `NCCL_INSTALL_PATH`, `NCCL_HDR_PATH` are deprecated. Use `TF_CUDA_PATHS` instead which supports a comma-separated list of base paths that are searched to find CUDA libraries and headers. Refer to our
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ci/official/requirements_updater/requirements.in
dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a
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configure.py
all_paths = set(python_paths + library_paths) # Sort set so order is deterministic all_paths = sorted(all_paths) paths = [] for path in all_paths: if os.path.isdir(path): paths.append(path) return paths def get_python_major_version(python_bin_path): """Get the python major version.""" return run_shell([python_bin_path, '-c', 'import sys; print(sys.version[0])'])
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