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tensorflow/c/eager/BUILD
], deps = [ ":immediate_execution_operation", "//tensorflow/c:conversion_macros", ], ) cc_library( name = "tfe_tensor_debug_info_internal", hdrs = ["tfe_tensor_debug_info_internal.h"], visibility = ["//visibility:private"], deps = [ "//tensorflow/core:lib", ], ) cc_library( name = "tfe_tensorhandle_internal",
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CONTRIBUTING.md
``` TensorFlow kernels and TensorFlow's dependencies are still not built with 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
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RELEASE.md
* The experimental Python API [`tf.debugging.experimental.enable_dump_debug_info()`](https://www.tensorflow.org/api_docs/python/tf/debugging/experimental/enable_dump_debug_info) now allows you to instrument a TensorFlow program and dump debugging information to a directory on the file system. The directory can be read and
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.bazelrc
# Debug config build:dbg -c dbg # Only include debug info for files under tensorflow/, excluding kernels, to # reduce the size of the debug info in the binary. This is because if the debug # sections in the ELF binary are too large, errors can occur. See # https://github.com/tensorflow/tensorflow/issues/48919. # Users can still include debug info for a specific kernel, e.g. with:
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