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CONTRIBUTING.md
debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
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tensorflow/c/eager/c_api.cc
/*device_mgr_owned*/ true, std::move(r), /*cluster_flr=*/nullptr, /*collective_executor_mgr=*/nullptr, /*run_eager_op_as_function=*/opts->run_eager_op_as_function, /*jit_compile_rewrite=*/opts->jit_compile_rewrite); #if !defined(IS_MOBILE_PLATFORM) eager_context->SetDistributedManager( std::make_unique<tensorflow::EagerContextDistributedManager>( eager_context));
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tensorflow/c/BUILD
"@local_xla//xla/tsl/c:tsl_status", ] + select({ "//tensorflow:with_xla_support": [ "//tensorflow/compiler/jit", "//tensorflow/compiler/tf2xla:xla_compiler", ], "//conditions:default": [], }) + if_tensorrt([ "//tensorflow/compiler/tf2tensorrt:trt_convert_api", ]), ) # Check that c_api_no_xla does not depend on xla. check_deps(
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tensorflow/c/eager/BUILD
"@com_google_absl//absl/types:variant", ], }) + select({ "//tensorflow:with_xla_support": [ "//tensorflow/compiler/jit", "//tensorflow/compiler/jit:xla_device", "//tensorflow/compiler/tf2xla:xla_compiler", ], "//conditions:default": [], }) + [ "//tensorflow/c:tf_status_helper", "//tensorflow/core:gpu_runtime",
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tensorflow/c/c_api_experimental.cc
#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" #include "tensorflow/core/common_runtime/eager/context.h" #include "tensorflow/core/common_runtime/eager/eager_operation.h"
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