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CONTRIBUTING.md
its dependencies and the rest of the system. - Rarely, If the tests fail at this stage, we cannot merge the code. - If needed, we may come to you to make some changes. At times, it may not be you, it may be us who may have hit a snag. Please be patient while we work to fix this. - Once the internal tests pass, we go ahead and merge the code internally as well as externally on GitHub.
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tensorflow/c/eager/immediate_execution_context.h
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_ #include <functional> #include <map> #include <memory> #include <vector> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/immediate_execution_distributed_manager.h"
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RELEASE.md
based server to register tf.function methods and a GRPC client to invoke remote registered methods. RPC APIs are intended for multi-client setups i.e. server and clients are started in separate binaries independently. * Example usage to create server: ```python server = tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")
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tensorflow/c/c_api_experimental.cc
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h" #include "tensorflow/c/eager/tfe_op_internal.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/c/tf_buffer_internal.h" #include "tensorflow/compiler/jit/flags.h" #include "tensorflow/core/common_runtime/eager/attr_builder.h"
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ci/official/utilities/code_check_full.bats
# limitations under the License. # ============================================================================== setup_file() { bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then
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tensorflow/c/experimental/gradients/BUILD
deps = [ "//tensorflow/c:tf_status_helper", "//tensorflow/c/eager:abstract_context", "//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:c_api_unified_internal", "//tensorflow/c/eager:gradients_internal", "//tensorflow/c/eager:unified_api_testutil", "//tensorflow/c/experimental/ops",
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tensorflow/c/experimental/gradients/custom_gradient_test.cc
#include <memory> #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_unified_experimental.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/eager/gradients.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/ops/math_ops.h"
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tensorflow/c/eager/abstract_function.h
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_ #define TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_ #include "absl/status/statusor.h" #include "tensorflow/core/framework/function.pb.h" #include "tensorflow/core/platform/intrusive_ptr.h"
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tensorflow/c/eager/graph_function.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/graph_function.h" #include <utility> #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { namespace tracing { namespace graph {
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tensorflow/c/experimental/gradients/array_grad.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/experimental/gradients/array_grad.h" #include "tensorflow/c/eager/abstract_context.h" namespace tensorflow { namespace gradients { namespace { class IdentityNGradientFunction : public GradientFunction { public: Status Compute(AbstractContext* ctx,
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