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CONTRIBUTING.md
automatically on GitHub. If you want to contribute, start working through the TensorFlow codebase, navigate to the [GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start looking through interesting issues. If you are not sure of where to start, then start by trying one of the smaller/easier issues here i.e.
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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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.bazelrc
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tensorflow/c/c_api.cc
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) status->status = tensorflow::errors::Unimplemented( "Server functionality is not supported on mobile"); #else status->status = server->server->Start(); #endif // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) } void TF_ServerStop(TF_Server* server, TF_Status* status) { #if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
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tensorflow/BUILD
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RELEASE.md
* Does not support gradients. * See `tf.types.experimental.AtomicFunction` documentation for how to call and use it. * `tf.data`: * Moved option `warm_start` from `tf.data.experimental.OptimizationOptions` to `tf.data.Options`. * `tf.lite`: * `sub_op` and `mul_op` support broadcasting up to 6 dimensions.
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tensorflow/c/eager/tape.h
// for that Tensor). We also count, for each tape entry, how many of its output // Tensors need gradients to be computed (Tensors which are not used do not need // any gradients to be computed). // // Finally, we start a backprop stack with a set of tape entries for which we // have all gradients available. This set usually is a subset of the set of // targets (not all since targets which have outputs in the tape will not have
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tensorflow/c/eager/c_api_experimental.h
// still called on `device_info` (i.e. the caller does not retain ownership). // // This API is highly experimental, and in particular is expected to change when // it starts supporting operations with attributes and when tf.function support // is added. TF_CAPI_EXPORT extern void TFE_RegisterCustomDevice(TFE_Context* ctx, TFE_CustomDevice device,
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
struct stat st; if (stat(dst, &st) != 0) { if (errno != ENOENT) { TF_SetStatusFromIOError(status, errno, dst); return; } } else if (S_ISDIR(st.st_mode)) { TF_SetStatus(status, TF_FAILED_PRECONDITION, "target path is a directory"); return; } // We cannot rename directories yet, so prevent this. if (stat(src, &st) != 0) {
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