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ci/official/utilities/code_check_full.bats
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF while read dep; do echo "For dependency $dep:" # For every missing dependency, find the tests which directly depend on # it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous.
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ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
License along with the GNU C Library; if not, see - <http://www.gnu.org/licenses/>. */ + <https://www.gnu.org/licenses/>. */ #ifndef _UTMP_H # error "Never include <bits/utmp.h> directly; use <utmp.h> instead." @@ -24,11 +24,13 @@ #include <time.h> -#define UT_NAMESIZE 8 -#define UT_LINESIZE 8 -#define UT_HOSTSIZE 16 +#define UT_LINESIZE 32
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
static_cast<off_t>(offset))}; if (r > 0) { dst += r; offset += static_cast<uint64_t>(r); n -= r; // safe as 0 < r <= n so n will never underflow read += r; } else if (r == 0) { TF_SetStatus(status, TF_OUT_OF_RANGE, "Read fewer bytes than requested"); break; } else if (errno == EINTR || errno == EAGAIN) { // Retry
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tensorflow/c/experimental/gradients/math_grad_test.cc
immediate_execution_ctx_.get(), {x.get()}, UseFunction())); } TEST_P(CppGradients, TestMatMulGrad) { // TODO(vnvo2409): Figure out why `gradient_checker` does not work very // well with `MatMul` and remove `TestMatMul*` in // `mnist_gradients_test` when done. GTEST_SKIP(); float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}; int64_t A_dims[] = {3, 3};
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.bazelrc
# Please note that MKL on MacOS is still not supported. # If you would like to use a local MKL instead of downloading, please set the # environment variable "TF_MKL_ROOT" every time before build. build:mkl --define=build_with_mkl=true --define=enable_mkl=true build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt
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tensorflow/c/c_api_experimental.h
// if the status is not ok. TF_CAPI_EXPORT extern int TF_OpIsStateful(const char* op_type, TF_Status* status); // Platform specific initialization routine. Very few platforms actually require // this to be called. TF_CAPI_EXPORT void TF_InitMain(const char* usage, int* argc, char*** argv); // Platform-specific implementation to return an unused port. (This should used
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CONTRIBUTING.md
### Typical Pull Request Workflow - **1. New PR** - As a contributor, you submit a New PR on GitHub. - We inspect every incoming PR and add certain labels to the PR such as `size:`, `comp:` etc. At this stage we check if the PR is valid and meets certain quality requirements. For example, we check if the CLA is signed, PR has
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ci/official/README.md
- Nightly jobs (Run nightly on the `nightly` branch) - Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh` - Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh` - Presubmit jobs (Run on every GitHub PR) - Uses `pycpp.sh`, `code_check_changed_files.sh` These "env" files match up with an environment matrix that roughly covers: - Different Python versions
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tensorflow/c/eager/c_api_experimental.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 // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
} lru_list_.erase(it->second.lru_iterator); cache_.erase(it); return true; } /// The maximum age of entries in the cache, in seconds. A value of 0 means /// that no entry is ever placed in the cache. const uint64_t max_age_; /// The maximum number of entries in the cache. A value of 0 means there is no /// limit on entry count. const size_t max_entries_;
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