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tensorflow/c/eager/c_api_cluster_test.cc
EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const char dev0_name[] = "/job:localhost/replica:0/task:0/device:CPU:0"; const char dev1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; TFE_TensorHandle* var_handle0 = TestVariable(ctx, 1.0, dev0_name); EXPECT_NE(var_handle0, nullptr); TFE_TensorHandle* var_handle1 = TestVariable(ctx, 2.0, dev1_name); EXPECT_NE(var_handle1, nullptr);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
bool has_gpu0 = false; bool has_gpu1 = false; for (int i = 0; i < num_devices; ++i) { const char* dev = TF_DeviceListName(devices, i, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); string device_name(dev); if (device_name.find("GPU:0") != string::npos) { has_gpu0 = true; } if (device_name.find("GPU:1") != string::npos) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
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.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Jan 08 09:32:19 GMT 2024 - 368 bytes - Viewed (1) -
ci/official/containers/linux_arm64/setup.python.sh
set -xe source ~/.bashrc VERSION=$1 REQUIREMENTS=$2 add-apt-repository ppa:deadsnakes/ppa # 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
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) -
tensorflow/api_template_v1.__init__.py
from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER if "dev" in __version__: # pylint: disable=undefined-variable _logging.warning(""" TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0. Please upgrade your code to TensorFlow 2.0:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
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, std::unique_ptr<CustomDevice> device) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
ci/official/requirements_updater/requirements.in
# Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3 requests == 2.31.0 packaging==23.2 setuptools==68.2.2
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 07:17:18 GMT 2024 - 806 bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/get_test_list.sh
# 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=$1 shift
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 1K bytes - Viewed (0) -
ci/official/utilities/setup_docker.sh
fi fi # Keep the existing "tf" container if it's already present. # The container is not cleaned up automatically! Remove it with: # docker rm tf if ! docker container inspect tf >/dev/null 2>&1 ; then # Pass all existing TFCI_ variables into the Docker container env_file=$(mktemp) env | grep ^TFCI_ > "$env_file" docker run $TFCI_DOCKER_ARGS --name tf -w "$TFCI_GIT_DIR" -itd --rm \
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 26 15:27:59 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
for (int i = 0; i < num_devices; ++i) { const string dev_type(TF_DeviceListType(devices, i, status.get())); CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); const string dev_name(TF_DeviceListName(devices, i, status.get())); CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); if (dev_type == device_type) { *device_name = dev_name;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2)