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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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ci/official/utilities/get_versions.sh
# by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field # $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below. export TF_VER_SUFFIX=$(awk -F\" '/#define TF_VERSION_SUFFIX/ {print $2}' tensorflow/core/public/version.h)
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tensorflow/c/eager/immediate_execution_operation.h
virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
CONTRIBUTING.md
TensorFlow team members will be assigned to review your pull requests. Once the pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are working on getting your pull request submitted to our internal repository. After the change has been submitted internally, your pull request will be merged automatically on GitHub.
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ci/official/utilities/rename_and_verify_wheels.sh
fi # VERY basic check to ensure the [and-cuda] package variant is installable. # Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is # relevant. All of the GPU test machines have CUDA installed via other means, # so I am not sure how to verify that the dependencies themselves are valid for # the moment. if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then echo "Checking to make sure tensorflow[and-cuda] is installable..."
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ci/official/utilities/setup_macos.sh
if [[ -n "$(which grealpath)" ]] && [[ -n "$(which gstat)" ]]; then alias realpath=grealpath alias stat=gstat # By default, aliases are only expanded in interactive shells, which means # that they are not substituted for their corresponding commands in shell # scripts. By setting "expand_aliases", we enable alias expansion in # non-interactive shells as well. shopt -s expand_aliases else
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SECURITY.md
The risk of loading untrusted checkpoints depends on the code or graph that you are working with. When loading untrusted checkpoints, the values of the traced variables from your model are also going to be untrusted. That means that if your code interacts with the filesystem, network, etc. and uses checkpointed variables as part of those interactions (ex: using a string variable to build a
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
cat <<EOF There was a path found connecting //tensorflow/tools/pip_package:build_pip_package to a banned CUDA dependency when '--define framework_shared_object=false' is set. This means that a CUDA target was probably included via an is_static condition, used when targeting platforms like Windows where we build statically instead of dynamically. Here's the output from bazel query: EOF
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tensorflow/c/experimental/gradients/math_grad.cc
/* Given upstream grad U and a matmul op A*B, the gradients are: * * dA = U * B.T * dB = A.T * U * * where A.T means `transpose(A)` */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; // Get transpose attrs bool t_a; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_a", &t_a)); bool t_b;
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// Blocks until the previous `StartExecute` has run `TFE_Execute` on each // device. If is_async=false (constructor argument) this means the ops have // run and have results. If is_async=true it means that all of the // device-specific executors have scheduled the op. // // Accepts inferred shapes for outputs (`expected_output_shapes`), which if
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