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CONTRIBUTING.md
development to avoid installing the packages directly on your system (in which case remember to change the directory from `/root` to `/tensorflow` once you get into the running container so `bazel` can find the `tensorflow` workspace). you can do this by using the following command. As an example- ```bash docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
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tensorflow/c/eager/c_api_experimental.h
// which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. // // There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must
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tensorflow/c/BUILD
"//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/kernels:ops_testutil", "@com_google_absl//absl/container:inlined_vector", "@com_google_absl//absl/strings:str_format", "@eigen_archive//:eigen3", ], ) tf_cc_test( name = "ops_test", size = "medium",
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tensorflow/c/eager/BUILD
"//tensorflow/core/common_runtime/eager:tensor_handle", "//tensorflow/core/profiler/lib:traceme", "@com_google_absl//absl/algorithm:container", "@com_google_absl//absl/types:span", "@com_google_absl//absl/types:variant", ], }) + [ ":abstract_tensor_handle", "//tensorflow/c:c_api_macros_hdrs",
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tensorflow/c/eager/c_api_test_util.cc
if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op, "dtype", TF_FLOAT); TFE_OpSetAttrShape(op, "shape", {}, 0, status); TFE_OpSetAttrString(op, "container", "localhost", 0); TFE_OpSetAttrString(op, "shared_name", "", 0); if (!device_name.empty()) { TFE_OpSetDevice(op, device_name.c_str(), status); } if (TF_GetCode(status) != TF_OK) return nullptr;
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tensorflow/c/eager/c_api_experimental.cc
==============================================================================*/ #include "tensorflow/c/eager/c_api_experimental.h" #include <cstdint> #include <memory> #include <utility> #include <vector> #include "absl/container/flat_hash_map.h" #include "absl/strings/match.h" #include "absl/time/time.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h"
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tensorflow/c/eager/c_api.cc
#include "tensorflow/c/eager/c_api.h" #include <algorithm> #include <cstddef> #include <cstdint> #include <memory> #include <string> #include <utility> #include <vector> #include "absl/algorithm/container.h" #include "absl/memory/memory.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_internal.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/c_api_experimental.h"
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ci/official/utilities/code_check_full.bats
# targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets. license_query() { bazel cquery --experimental_cc_shared_library "$1" --keep_going \ | grep -e "^//" -e "^@" \ | grep -E -v "^//tensorflow" \ | sed -e 's|:.*||' \ | sort -u }
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tensorflow/c/eager/tape.h
// a tensor with the result. virtual Gradient* AggregateGradients( gtl::ArraySlice<Gradient*> gradient_tensors) const = 0; // Calls the passed-in backward function. // // `unneeded_gradients` contains sorted list of input indices for which a // gradient is not required. virtual Status CallBackwardFunction( const string& op_type, BackwardFunction* backward_function,
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tensorflow/c/experimental/next_pluggable_device/c_api.cc
auto cc_status = cc_ctx->resource_manager()->Create<tensorflow::PluginResource>( container_name, plugin_resource_name, cc_resource_ptr); status->status = cc_status; } void TF_LookupOrCreatePluginResource( TF_OpKernelContext* ctx, const char* container_name, const char* plugin_resource_name, void** result_plugin_resource, void* (*create_func)(void*), void* create_func_args,
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