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Results 1 - 10 of 228 for cpu (0.17 sec)

  2. github.com/minio/minio

    Dockerfile.release.old_cpu 

    Harshavardhana <******@****.***> 1711791711 -0700
    Plain Text
    - Registered: Sun Apr 21 19:28:08 GMT 2024
    - Last Modified: Sat Mar 30 09:41:56 GMT 2024
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  3. github.com/tensorflow/tensorflow

    .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 23 12:39:09 GMT 2024
    - Last Modified: Tue Oct 17 11:48:07 GMT 2023
    - 4K bytes
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  4. github.com/istio/istio

    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)
  5. github.com/istio/istio

    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
    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)
  6. github.com/tensorflow/tensorflow

    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
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  7. github.com/minio/minio

    docs/metrics/prometheus/list.md 

    | `minio_node_cpu_avg_system`          | CPU system time.                           |
| `minio_node_cpu_avg_system_avg`      | CPU system time (avg).                     |
| `minio_node_cpu_avg_system_max`      | CPU system time (max).                     |
| `minio_node_cpu_avg_idle`            | CPU idle time.                             |
    Plain Text
    - Registered: Sun Apr 21 19:28:08 GMT 2024
    - Last Modified: Thu Mar 28 17:15:39 GMT 2024
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  8. github.com/tensorflow/tensorflow

    tensorflow/c/eager/parallel_device/parallel_device_test.cc 

          "/job:localhost/replica:0/task:0/device:CPU:0",
      "/job:localhost/replica:0/task:0/device:CPU:1"};
  RegisterParallelDevice(context.get(), first_device_name,
                         first_underlying_devices, status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

  // Create a second parallel device with the first parallel device and one
  // additional CPU.
  const char* second_device_name =
    C++
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Thu Jul 08 23:47:35 GMT 2021
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  9. github.com/minio/minio

    cmd/metrics-resource.go 

    		cpuUser:           "CPU user time",
		cpuSystem:         "CPU system time",
		cpuIdle:           "CPU idle time",
		cpuIOWait:         "CPU ioWait time",
		cpuSteal:          "CPU steal time",
		cpuNice:           "CPU nice time",
		cpuLoad1:          "CPU load average 1min",
		cpuLoad5:          "CPU load average 5min",
		cpuLoad15:         "CPU load average 15min",
    Go
    - Registered: Sun Apr 21 19:28:08 GMT 2024
    - Last Modified: Wed Apr 17 05:10:25 GMT 2024
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  10. github.com/tensorflow/tensorflow

    README.md 

    A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

To update TensorFlow to the latest version, add `--upgrade` flag to the above
commands.

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*
    Plain Text
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  11. github.com/tensorflow/tensorflow

    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)
    Plain Text
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Tue Oct 23 01:38:30 GMT 2018
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