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ci/official/wheel_test/README.md
Example: For Python 3.11, use `3_11` The script performs the following steps: 1. Navigates to the `../requirements_updater` directory. 2. Creates a `requirements_wheel_test.in` file and specifies the path to the actual TensorFlow wheel. 3. Creates a `requirements_lock_<python_version>.txt` file. 4. Updates the `requirements_lock_<python_version>.txt` file using a Bazel command.
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// Returns the device which created the handle. virtual const char* DeviceName(Status* status) const = 0; // Returns the device where the tensor was placed. virtual const char* BackingDeviceName(Status* status) const = 0; // Returns the device type which created the handle. virtual const char* DeviceType(Status* status) const = 0; // Returns the device ID which created the handle.
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.github/workflows/issue-on-pr-rollback.yml
# limitations under the License. # ============================================================================== name: Creates a GitHub Issue when a PR Rolled back via Commit to Master on: push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest permissions: contents: read issues: write pull-requests: read
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tensorflow/c/eager/unified_api_testutil.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, absl::Span<AbstractTensorHandle* const> inputs,
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tensorflow/c/eager/c_api_experimental_test.cc
TF_DeleteStatus(status); } // 6. Read `var` using `ctx_1`. This read should succeed since `ctx_1` was // created with `isolate_session_state` set to false, and update should // preserve it. { // Create a handle to `var`, using `ctx_1`. TFE_TensorHandle* var_handle = CreateVarHandle(ctx_1, remote_device, /*variable_name=*/"var");
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tensorflow/c/eager/c_api_test.cc
// only worker 1. // 2. Create a context B using A. // 3. Create the variable in B. // 4. Create another single host server def C with only worker 0. // 5. Start the GRPC server for worker 0 using C. // 6. Create a context D using the full cluster server def E. // 7. Read the variable in D. TEST(CAPI, SingleHostServerDefV1Works) { // Create a server def that represents a 2-process cluster and a client.
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tensorflow/c/BUILD
]), ) # Check that c_api_no_xla does not depend on xla. check_deps( name = "c_api_no_xla_check_deps", disallowed_deps = ["//tensorflow/compiler/jit:xla_kernel_creator"], deps = [":c_api_no_xla"], ) tf_cuda_library( name = "c_api_no_xla", srcs = [ "c_api.cc", "c_api_function.cc", ], hdrs = [ "c_api.h",
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tensorflow/c/c_api_test.cc
TF_Run(session, run_options, nullptr, nullptr, 0, nullptr, nullptr, 0, nullptr, 0, run_metadata, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ("Session was not created with a graph before Run()!", string(TF_Message(s))); TF_DeleteBuffer(run_metadata); TF_DeleteBuffer(run_options); TF_DeleteDeprecatedSession(session, s);
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tensorflow/c/eager/c_api.h
// A tensorflow.ServerDef specifies remote workers (in addition to the current // workers name). Operations created in this context can then be executed on // any of these remote workers by setting an appropriate device. // // If the following is set, all servers identified by the // ServerDef must be up when the context is created. TF_CAPI_EXPORT extern void TFE_ContextSetServerDef(TFE_Context* ctx,
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tensorflow/c/eager/immediate_execution_distributed_manager.h
// When `reset_context` is true, initialize new cluster context state based // on cluster configurations provided in `server_def`; otherwise, update // existing context state with the provided `server_def`. Contexts created // on remote tasks will be considered stale and garbage collected after // `keep_alive_secs` of inactivity. virtual Status SetOrUpdateServerDef(const ServerDef& server_def,
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