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tensorflow/c/experimental/gradients/nn_grad.cc
* * dA = U * dbias = reduceSum(U, dims = channel_dim) */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; DCHECK(upstream_grad); // Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref();
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ci/official/containers/linux_arm64/setup.sources.sh
# # 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 # Set up shared custom sources apt-get update apt-get install -y gnupg ca-certificates
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 1.7K bytes - Viewed (0) -
AUTHORS
# This is the official list of TensorFlow authors for copyright purposes. # This file is distinct from the CONTRIBUTORS files. # See the latter for an explanation. # Names should be added to this file as: # Name or Organization <email address> # The email address is not required for organizations. Google Inc. Yuan Tang <******@****.***>
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 03 15:11:48 GMT 2022 - 357 bytes - Viewed (0) -
ci/official/containers/linux_arm64/setup.python.sh
# Install Python packages for this container's version cat >pythons.txt <<EOF $VERSION $VERSION-dev $VERSION-venv $VERSION-distutils EOF /setup.packages.sh pythons.txt # Re-link pyconfig.h from aarch64-linux-gnu into the devtoolset directory # for any Python version present pushd /usr/include/aarch64-linux-gnu for f in $(ls | grep python); do # set up symlink for devtoolset-10
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 00:26:34 GMT 2023 - 2.1K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
echo "Use 'devtoolset-9' to build a manylinux2014 compatible toolchain" exit 1 ;; esac mkdir -p "${TARGET}" mkdir -p ${TARGET}/usr/include # Put the current kernel headers from ubuntu in place. ln -s "/usr/include/linux" "${TARGET}/usr/include/linux" ln -s "/usr/include/asm-generic" "${TARGET}/usr/include/asm-generic" ln -s "/usr/include/aarch64-linux-gnu/asm" "${TARGET}/usr/include/asm"
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
if (ops->filesystem_ops->new_read_only_memory_region_from_file != nullptr && ops->read_only_memory_region_ops == nullptr) return errors::FailedPrecondition( "Filesystem allows creation of readonly memory regions but no " "operations on them have been supplied."); return OkStatus(); } // Copies a function table from plugin memory space to core memory space. //
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ci/official/envs/enable_pycpp_build
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Changes the behavior in pycpp.sh from "run all tests" to "verify that all # tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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.github/workflows/release-branch-cherrypick.yml
# Usage: Go to # https://github.com/tensorflow/tensorflow/actions/workflows/release-branch-cherrypick.yml # and click "Run Workflow." Leave "Use Workflow From" set to "master", then # input the branch name and paste the cherry-pick commit and click Run. A PR # will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs:
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ci/official/containers/linux_arm64/devel.usertools/get_test_list.sh
# limitations under the License. # ============================================================================== # # Usage: get_test_list.sh OUTPUT BAZEL_TEST_COMMAND... # Writes the list of tests that would be run from BAZEL_TEST_COMMAND to OUTPUT. # Hides all extra output and always exits with success for now. OUTPUT=$1 shift
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WORKSPACE
# restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file. load("@//tensorflow:workspace3.bzl", "tf_workspace3") tf_workspace3() load("@//tensorflow:workspace2.bzl", "tf_workspace2") tf_workspace2()
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