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tensorflow/c/eager/c_api_unified_experimental_internal.h
return ptr->getKind() == kGraph || ptr->getKind() == kMlir; } }; // An abstract operation describes an operation by its type, name, and // attributes. It can be "executed" by the context with some input tensors. // It is allowed to reusing the same abstract operation for multiple execution // on a given context, with the same or different input tensors. class TracingOperation : public AbstractOperation { protected:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
// Returns whether `device_name` is registered as a custom device. virtual bool IsCustomDevice(const string& device_name) = 0; // Register a custom device. It will return error is the device name is // already registered. // TODO(tfrt-devs): Remove this method. Let caller register it directly into // CustomDeviceOpHandler. virtual Status RegisterCustomDevice(const string& name,
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ci/official/containers/linux_arm64/builder.patchelf/build_patchelf.sh
# ============================================================================== # Need a newer version of patchelf as the installed version is buggy in 20.04 # so get patchelf source from 22.04 ie 'jammy' and build it to avoid dependency # problems that would occur with a binary package mkdir -p /patchelf cd /patchelf echo deb-src http://ports.ubuntu.com/ubuntu-ports/ jammy universe>>/etc/apt/sources.list apt-get update
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ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
for wheel in /tf/pkg/*.whl; do echo "Checking and renaming $wheel..." time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt # We don't need the original wheel if it was renamed new_wheel=$(grep --extended-regexp --only-matching '/tf/pkg/\S+.whl' check.txt) if [[ "$new_wheel" != "$wheel" ]]; then rm "$wheel" wheel="$new_wheel" fi
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
if (dst_fd < 0) { close(src_fd); return -1; } // Both files have been opened, do the transfer. // Since errno would be overridden by `close` below, save it here. int error_code = 0; if (CopyFileContents(dst_fd, src_fd, size) < 0) error_code = errno; close(src_fd); close(dst_fd); if (error_code != 0) { errno = error_code; return -1; } else {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jan 16 05:36:52 GMT 2020 - 2.1K bytes - Viewed (1) -
ci/official/containers/linux_arm64/setup.sources.sh
# limitations under the License. # ============================================================================== # # setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> # Sets up custom apt sources for our TF images. # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive
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ci/official/utilities/cleanup_summary.sh
can view more detailed results that are probably easier to read than this log. Try the links below: EOF # Find any "Streaming build results to" line, then print the last word in it, # and don't print duplicates awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq } # Print out any ResultStore URLs for Bazel invocations' results.
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` ### 3. Failure after conversion If the conversion is successful, but the generated model is wrong, then state what is wrong: - Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 4. (optional) RNN conversion support If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title. ### 5. (optional) Any other info / logs
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ci/official/utilities/setup_docker.sh
if [[ "$TFCI_DOCKER_REBUILD_UPLOAD_ENABLE" == 1 ]]; then docker push "$TFCI_DOCKER_IMAGE" fi fi # Keep the existing "tf" container if it's already present. # The container is not cleaned up automatically! Remove it with: # docker rm tf if ! docker container inspect tf >/dev/null 2>&1 ; then # Pass all existing TFCI_ variables into the Docker container env_file=$(mktemp)
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.github/workflows/arm-cd.yml
- name: Upload pip wheel to PyPI if: github.event_name == 'schedule' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v2')) # only if it is a scheduled nightly or tagged shell: bash
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