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Dockerfile.release.old_cpu
Harshavardhana <******@****.***> 1711791711 -0700
Plain Text - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Sat Mar 30 09:41:56 GMT 2024 - 2.8K bytes - Viewed (0) -
cmd/metrics-v3-system-cpu.go
sysCPUAvgIdleMD = NewGaugeMD(sysCPUAvgIdle, "Average CPU idle time") sysCPUAvgIOWaitMD = NewGaugeMD(sysCPUAvgIOWait, "Average CPU IOWait time") sysCPULoadMD = NewGaugeMD(sysCPULoad, "CPU load average 1min") sysCPULoadPercMD = NewGaugeMD(sysCPULoadPerc, "CPU load average 1min (percentage)") sysCPUNiceMD = NewGaugeMD(sysCPUNice, "CPU nice time") sysCPUStealMD = NewGaugeMD(sysCPUSteal, "CPU steal time")
Go - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Tue Apr 23 23:56:12 GMT 2024 - 3K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
StatusIs(error::INTERNAL, HasSubstr(absl::StrCat("PjRtClient for ", DEVICE_CPU, " is not type PjRtCApiClient")))); } TEST(TensorPjRtBufferUtilTest, GetPjRtCApiClientSuccess) { auto status = pjrt::PjrtApi(DEVICE_CPU); if (!status.ok()) { TF_ASSERT_OK(pjrt::SetPjrtApi(DEVICE_CPU, GetPjrtApi())); }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
.github/bot_config.yml
Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load. Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below: * Try Google Colab to use TensorFlow.
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/c/README.md
- Nightly builds: - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz) - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)
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manifests/charts/istio-operator/files/profile-demo.yaml
global: proxy: resources: requests: cpu: 10m memory: 40Mi pilot: autoscaleEnabled: false traceSampling: 100 resources: requests: cpu: 10m memory: 100Mi gateways: istio-egressgateway: autoscaleEnabled: false resources: requests: cpu: 10m memory: 40Mi istio-ingressgateway: autoscaleEnabled: false
Others - Registered: Wed Mar 20 22:53:08 GMT 2024 - Last Modified: Tue Feb 06 01:25:34 GMT 2024 - 1.9K bytes - Viewed (0) -
manifests/charts/ztunnel/files/profile-demo.yaml
global: proxy: resources: requests: cpu: 10m memory: 40Mi pilot: autoscaleEnabled: false traceSampling: 100 resources: requests: cpu: 10m memory: 100Mi gateways: istio-egressgateway: autoscaleEnabled: false resources: requests: cpu: 10m memory: 40Mi istio-ingressgateway: autoscaleEnabled: false
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manifests/charts/gateways/istio-ingress/files/profile-demo.yaml
global: proxy: resources: requests: cpu: 10m memory: 40Mi pilot: autoscaleEnabled: false traceSampling: 100 resources: requests: cpu: 10m memory: 100Mi gateways: istio-egressgateway: autoscaleEnabled: false resources: requests: cpu: 10m memory: 40Mi istio-ingressgateway: autoscaleEnabled: false
Others - Registered: Wed Apr 24 22:53:08 GMT 2024 - Last Modified: Tue Apr 02 22:30:06 GMT 2024 - 2.1K bytes - Viewed (0) -
ci/official/envs/linux_x86
# ============================================================================== TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_cpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_cpu" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=tensorflow/build:2.16-python${TFCI_PYTHON_VERSION} TFCI_DOCKER_PULL_ENABLE=1
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manifests/charts/gateway/files/profile-demo.yaml
global: proxy: resources: requests: cpu: 10m memory: 40Mi pilot: autoscaleEnabled: false traceSampling: 100 resources: requests: cpu: 10m memory: 100Mi gateways: istio-egressgateway: autoscaleEnabled: false resources: requests: cpu: 10m memory: 40Mi istio-ingressgateway: autoscaleEnabled: false
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