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tensorflow/c/env_test.cc
} namespace { struct SomeThreadData { ::tensorflow::mutex mu; bool did_work = false; }; void SomeThreadFunc(void* data) { auto* real_data = static_cast<SomeThreadData*>(data); ::tensorflow::mutex_lock l(real_data->mu); real_data->did_work = true; } } // namespace TEST(TestEnv, TestThreads) { TF_ThreadOptions options; TF_DefaultThreadOptions(&options);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Dec 10 20:52:48 GMT 2018 - 4.2K bytes - Viewed (0) -
CONTRIBUTING.md
you're running the same code that you're testing: * Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/) `pip install -U tf-nightly` * Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch. 2. If you are changing the code and the docstring of a class/function/method,
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tensorflow/c/eager/dlpack.cc
} dlm_tensor->dl_tensor.shape = shape_arr->data(); // There are two ways to represent compact row-major data // 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data();
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
// The named union is needed here (as opposed to // inside the `TF_Filesystem_Option_Value` struct) // as MSVC does not recognize `typeof`. typedef union TF_Filesystem_Option_Value_Union { int64_t int_val; double real_val; struct { char* buf; int buf_length; } buffer_val; } TF_Filesystem_Option_Value_Union; typedef struct TF_Filesystem_Option_Value { int type_tag; // type of values in the values union
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
RELEASE.md
* Add `tf.contrib.distributions.bijectors.Reshape`. * Support shape inference (i.e., shapes containing -1) in the Reshape bijector. * Add `streaming_precision_recall_at_equal_thresholds,` a method for computing streaming precision and recall with `O(num_thresholds + size of predictions)` time and space complexity. * Change `RunConfig` default behavior to not set a random seed, making random
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
memset(&option_value, 0, sizeof(option_value)); option_value.type_tag = TF_Filesystem_Option_Type_Real; option_value.num_values = values.size(); std::vector<TF_Filesystem_Option_Value_Union> option_values(values.size()); for (size_t i = 0; i < values.size(); i++) { memset(&option_values[i], 0, sizeof(option_values[i])); option_values[i].real_val = values[i]; } option_value.values = &option_values[0];
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CODE_OF_CONDUCT.md
If you are experiencing or witnessing conflict, we ask you to use the following escalation strategy to address the conflict: 1. Address the perceived conflict directly with those involved, preferably in a real-time medium. 2. If this fails, get a third party (e.g. a mutual friend, and/or someone with background on the issue, but not involved in the conflict) to intercede.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
of dynamically. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "All tensorflow.org/code links point to real files" { for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g')
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tensorflow/c/experimental/filesystem/plugins/windows/BUILD
linkstatic = False, tags = [ "manual", "nobuilder", "notap", ], visibility = ["//visibility:public"], deps = [":windows_filesystem_impl"], ) # The real implementation of the filesystem. cc_library( name = "windows_filesystem_impl", srcs = ["windows_filesystem.cc"], copts = get_win_copts(), tags = [ "manual", "nobuilder",
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
tensorflow::unwrap(op_.get())->SetStepId(step_id_.value()); } TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status); if (TF_GetCode(status) != TF_OK) { cancellation_manager_->StartCancel(); return; } unwrapped_results.resize(real_num_outputs); outputs->reserve(real_num_outputs); for (TFE_TensorHandle* unwrapped_result : unwrapped_results) { outputs->emplace_back(unwrapped_result);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1)