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.github/ISSUE_TEMPLATE/tflite-other.md
installed from options: - source - binary validations: required: true - type: input id: tfversion attributes: label: Tensorflow Version description: placeholder: ex,. tf 2.8 validations: required: true - type: dropdown id: Code attributes: label: Custom Code description: options: - "Yes" - "No" validations: required: true
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tensorflow/c/c_api_internal.h
class ServerInterface; } // namespace tensorflow // Internal structures used by the C API. These are likely to change and should // not be depended on. struct TF_SessionOptions { tensorflow::SessionOptions options; }; struct TF_DeprecatedSession { tensorflow::Session* session; }; struct TF_Library { void* lib_handle; TF_Buffer op_list; }; struct TF_Graph { TF_Graph();
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code Provide code to help us reproduce your issues using one of the following options: #### Option A: Reference colab notebooks 1) Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
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tensorflow/c/env.cc
void TF_DefaultThreadOptions(TF_ThreadOptions* options) { options->stack_size = 0; options->guard_size = 0; options->numa_node = -1; } TF_Thread* TF_StartThread(const TF_ThreadOptions* options, const char* thread_name, void (*work_func)(void*), void* param) { ::tensorflow::ThreadOptions cc_options; cc_options.stack_size = options->stack_size;
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tensorflow/c/env_test.cc
::tensorflow::mutex_lock l(real_data->mu); real_data->did_work = true; } } // namespace TEST(TestEnv, TestThreads) { TF_ThreadOptions options; TF_DefaultThreadOptions(&options); SomeThreadData data; TF_Thread* thread = TF_StartThread(&options, "SomeThreadName", &SomeThreadFunc, &data); TF_JoinThread(thread); ::tensorflow::mutex_lock l(data.mu); ASSERT_TRUE(data.did_work);
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ci/official/README.md
TensorFlow's official CI jobs run the scripts in this folder. Our internal CI system, Kokoro, schedules our CI jobs by combining a build script with a file from the `envs` directory that is filled with configuration options: - 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`
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tensorflow/c/experimental/next_pluggable_device/c_api.h
// Passes the pointer to a vector of PJRT_NamedValue and number of options to // set options for creating a PJRT client. Passes nullptr for create_options and // 0 for num_options if no options need to be set. You can use // ConvertToPjRtNamedValueList in // tensorflow/compiler/xla/pjrt/c/pjrt_c_api_helpers.h to generate the options. TF_CAPI_EXPORT extern void TF_CreateAndSetPjRtCApiClient(
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a # bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a
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tensorflow/c/eager/c_api_unified_experimental_eager.cc
using tensorflow::unwrap; using tensorflow::wrap; using tensorflow::strings::StrCat; TF_ExecutionContext* TF_NewEagerExecutionContext(TFE_ContextOptions* options, TF_Status* s) { TFE_Context* c_ctx = TFE_NewContext(options, s); if (TF_GetCode(s) != TF_OK) { return nullptr; } return wrap(static_cast<AbstractContext*>(unwrap(c_ctx))); }
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tensorflow/c/eager/c_api_internal.h
// TODO(b/154564140): Move this to its own header. This requires splitting // c_api_experimental.h struct TFE_ContextOptions { TF_SessionOptions session_options; // true if async execution is enabled. bool async = false; TFE_ContextDevicePlacementPolicy device_placement_policy{ TFE_DEVICE_PLACEMENT_SILENT}; // If true, use TFRT backend bool use_tfrt = false;
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