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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Nov 21 12:25:39 GMT 2023 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// // WARNING: The destructor of this class is marked as protected to disallow // clients from directly destroying this object since it may manage it's own // lifetime through ref counting. Thus this must be allocated on the heap and // clients MUST call Release() in order to destroy an instance of this class. virtual void Release() = 0; virtual Status Reset(const char* op, const char* raw_device_name) = 0;
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tensorflow/c/c_test.c
// just nice to know that it compiles. void* create(TF_OpKernelConstruction* ctx) { TF_DataType type; TF_Status* s = TF_NewStatus(); TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s); TF_DeleteStatus(s); return NULL; } // A compute function. This will never actually get called in this test, it's // just nice to know that it compiles.
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tensorflow/c/eager/c_api.h
// "Context" under which operations/functions are executed. It encapsulates // things like the available devices, resource manager etc. // TFE_Context must outlive all tensor handles created using it. In other // words, TFE_DeleteContext() must be called after all tensor handles have // been deleted (with TFE_DeleteTensorHandle). // // TODO(ashankar): Merge with TF_Session? typedef struct TFE_Context TFE_Context;
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tensorflow/c/c_api_macros_internal.h
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tensorflow/c/eager/c_api_unified_experimental.cc
TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(func)); if (!tracing_ctx) { tsl::Set_TF_Status_from_Status( s, tensorflow::errors::InvalidArgument( "TF_AddFunctionParameter must be called on a TracingContext.")); return nullptr; } tensorflow::PartialTensorShape partial_shape; if (shape.num_dims != -1) { DCHECK(shape.dim_sizes != nullptr);
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tensorflow/c/eager/immediate_execution_distributed_manager.h
virtual Status InitializeLocalOnlyContext(const ServerDef& server_def, int keep_alive_secs) = 0; // Set up a multi-client distributed execution environment. Must be called // on all tasks in the cluster. This call internally coordinates with other // tasks to initialize the eager context and TF server for multi-client // execution.
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
F release() { released_ = true; return std::move(f_); } bool is_released() const { return released_; } private: static_assert(!std::is_reference<F>::value, "F must not be a reference"); bool released_ = false; F f_; }; template <int&... ExplicitParameterBarrier, typename F, typename DecayF = typename std::decay<F>::type>
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tensorflow/c/c_api.cc
opts->tensor_id_data.push_back(src_name); const string& src_name_str = opts->tensor_id_data.back(); // We don't need to store dst's name in tensor_id_data, since `dst` must // outlive the ImportGraphDef call. opts->opts.input_map[TensorId(src_name_str, src_index)] = ToTensorId(dst); } void TF_ImportGraphDefOptionsRemapControlDependency(
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// before `StartExecute` is called again. Using `StartExecute` with `Join` // allows the caller to schedule computation on multiple ParallelDevices // without sequencing those operations (first call `StartExecute` on each // parallel device, then call `Join` on each; even if some of the `Join`s // return a bad status the caller must run all of the `Join`s or any future
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