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ci/official/containers/linux_arm64/Dockerfile
RUN dpkg -i /patchelf/patchelf_0.14.3-1_arm64.deb # All lines past this point are reset when $CACHEBUSTER is set. We need this # for Python specifically because we install some nightly packages which are # likely to change daily. ARG CACHEBUSTER=0 RUN echo $CACHEBUSTER # Setup build and environment COPY devel.usertools /usertools COPY devel.bashrc /root/.bashrc COPY ld.so.conf /dt10/etc/
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF while read dep; do echo "For dependency $dep:" # For every missing dependency, find the tests which directly depend on # it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous.
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tensorflow/c/eager/c_api.h
// graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx); // Ends a step. When there is no active step (that is, every started step has // been ended) step containers will be cleared. Note: it is not safe to call // TFE_ContextEndStep while ops that rely on the step container may be running.
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tensorflow/c/c_api.cc
} else { return ToOperation(iter->second); } } TF_Operation* TF_GraphNextOperation(TF_Graph* graph, size_t* pos) { if (*pos == 0) { // Advance past the first sentinel nodes in every graph (the source & sink). *pos += 2; } else { // Advance to the next node. *pos += 1; } mutex_lock l(graph->mu);
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// `StartExecute`s will deadlock). // // If `is_async=false` (constructor argument), `cancellation_manager` must // live until `Join` finishes. If `is_async=true` it must live until `Join` is // followed by `TFE_ContextAsyncWait` to clear pending operations. It will be // used to cancel all other operations if any fails. //
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
: status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the // parallel device. device_(device), executor_(
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ci/official/utilities/setup.sh
# variables in it, OR may be left empty if the user has already exported the # relevant variables in their environment. Because of 'set -o allexport' above # (which is equivalent to "set -a"), every variable in the file is exported # for other files to use. # # Separately, if TFCI is set *and* there are also additional TFCI_ variables # set in the shell environment, those variables will be restored after the
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tensorflow/c/c_api.h
// reference types inside function's body to support legacy code. Do not // use them in new code. // - Every node in the function's body must have all of its inputs (including // control inputs). In other words, for every node in the body, each input // must be either listed in `inputs` or must come from another node in
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ci/official/envs/ci_default
# ============================================================================== # Note: this file gets sourced in utilities/setup.sh, which has "set -u" # (error on undefined variables). This ensures that (a) every TFCI variable # has an explicit default value, and (b) no script can accidentally use a # variable that doesn't exist. Please keep this list in alphabetical order. # # Find usage in scripts with e.g.: # cd ci/official
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tensorflow/c/c_api_internal.h
#include "tensorflow/core/public/session.h" namespace tensorflow { class Device; class DeviceMgr; class ServerInterface; } // namespace tensorflow // Internal structures used by the C API. These are likely to change and should // not be depended on. struct TF_SessionOptions { tensorflow::SessionOptions options; }; struct TF_DeprecatedSession { tensorflow::Session* session; }; struct TF_Library {
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