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ci/official/containers/linux_arm64/cuda.packages.txt
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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ci/official/utilities/setup_macos.sh
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as # a service account that has the right permissions to be able to do so. set +x if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac # VMs. export CLOUDSDK_PYTHON=$(which python3.11)
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
import distutils as _distutils import importlib import inspect as _inspect import os as _os import site as _site import sys as _sys # Do not remove this line; See https://github.com/tensorflow/tensorflow/issues/42596 from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util
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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;
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tensorflow/c/eager/immediate_execution_tensor_handle.cc
std::string& summary) const { Status status; AbstractTensorPtr resolved( // TODO(allenl): Resolve should be const, and the caches that get updated // marked mutable. const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status)); if (!status.ok()) { return status; } summary = resolved->SummarizeValue(); return absl::OkStatus(); }
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ci/official/README.md
# Advanced: Use Remote Build Execution (RBE) (internal developers only) # # RBE dramatically speeds up builds and testing. It also gives you a # public URL to share your build results with collaborators. However, # it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove
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tensorflow/c/eager/unified_api_test.cc
"Tensor expected to have scalar shape found rank: ", shape.dims()); } return absl::OkStatus(); } TEST_P(UnifiedAPI, TestTensorShapeScalar) { if (UseFunction() && UseMlir()) { // TODO(b/173074167): Remove this. GTEST_SKIP() << "MlirTensor::Shape is not implemented yet."; } AbstractContextPtr ctx; { AbstractContext* ctx_raw = nullptr; Status s =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
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=$(mktemp) env | grep ^TFCI_ > "$env_file"
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tensorflow/c/experimental/gradients/BUILD
], ) tf_cuda_cc_test( name = "custom_gradient_test", size = "small", srcs = [ "custom_gradient_test.cc", ], args = ["--heap_check="], # TODO(b/174752220): Remove tags = tf_cuda_tests_tags(), deps = [ "//tensorflow/c:tf_status_helper", "//tensorflow/c/eager:abstract_context", "//tensorflow/c/eager:c_api",
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