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Results 161 - 170 of 376 for r2devices (0.14 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/rewrite_util.h
int_attr.getSplatValue<APInt>() == raw_value) return true; } return false; } // Returns true if `op` is placed on GPU device, and false if it's on other // devices or the device is not specified. bool IsOnGpuDevice(mlir::Operation *op); // Wrappers for CopyDeviceAndUnderscoredAttributes void CopyDeviceAndUnderscoredAttributesAdaptor(mlir::OpResult src,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 4K bytes - Viewed (0) -
pkg/volume/nfs/nfs_test.go
if err != nil { t.Errorf("fakeMounter.List() failed: %v", err) } if len(mntDevs) != 1 { t.Errorf("unexpected number of mounted devices. expected: %v, got %v", 1, len(mntDevs)) } else { if mntDevs[0].Type != "nfs" { t.Errorf("unexpected type of mounted devices. expected: %v, got %v", "nfs", mntDevs[0].Type) } if mntDevs[0].Device != expectedDevice {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Aug 01 15:56:32 UTC 2022 - 9K bytes - Viewed (0) -
CITATION.cff
environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 06 15:26:23 UTC 2021 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-dynamic-layout-pass.mlir
%5:2 = tf_device.replicate([%2#0, %3#0] as %r0: tensor<3x3x1x32xf32>, [%2#1, %3#1] as %r1: tensor<3x3x1x32xf32>) {n = 2 : i32, devices = {TPU_REPLICATED_CORE_0 = ["/device:TPU:0", "/device:TPU:1"]}} { // CHECK: "tf.TPUExecute"(%[[R0]], %[[R1]], %[[COMPILE]]#1) %execute = "tf_device.launch"() ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 29.6K bytes - Viewed (0) -
pkg/kubelet/kubelet_pods_linux_test.go
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Sat Mar 09 18:00:59 UTC 2024 - 11.3K bytes - Viewed (0) -
tensorflow/cc/experimental/base/public/tensorhandle.h
namespace cc { // An opaque representation of a tensor computed/managed by the Tensorflow // runtime (tensorflow:cc::Runtime). Unlike a tensor, a Tensorhandle may refer // to tensors placed in memory of different devices or remote address spaces. // Note that tensorflow::cc::Runtime MUST outlive all TensorHandles created // from it. class TensorHandle { public: // Unwraps a Tensor from the given TensorHandle. If an error occurred,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 12 19:37:48 UTC 2020 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/raise_target_subgraphs.cc
// product of possible devices and inference datatypes. For example, we might // raise a chunk of sequential operations from a block all having attributes // `{ tac.device = "GPU", tac.inference_type = "FLOAT"}` to a function // with the matching attributes. Assumed is that device type "CPU" // is the only device that is allowed to call other devices. I.e. ancestors of a
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.4K bytes - Viewed (0) -
pkg/kubelet/cm/devicemanager/plugin/v1beta1/client.go
klog.ErrorS(err, "ListAndWatch ended unexpectedly for device plugin", "resource", c.resource) return } klog.V(2).InfoS("State pushed for device plugin", "resource", c.resource, "resourceCapacity", len(response.Devices)) c.handler.PluginListAndWatchReceiver(c.resource, response) } } // Disconnect is for closing gRPC connection between device manager and device plugin. func (c *client) Disconnect() error { c.mutex.Lock()
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Oct 24 21:35:13 UTC 2023 - 3.8K bytes - Viewed (0) -
misc/ios/README
which will output something similar to export GOIOS_DEV_ID="iPhone Developer: ******@****.*** (XXXXXXXX)" export GOIOS_APP_ID=YYYYYYYY.some.bundle.id export GOIOS_TEAM_ID=ZZZZZZZZ If you have multiple devices connected, specify the device UDID with the GOIOS_DEVICE_ID variable. Use `idevice_id -l` to list all available UDIDs. Then, setting GOARCH to arm64 will select the device:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Dec 29 21:49:26 UTC 2020 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/jit/device_util_test.cc
} TEST(PickDeviceForXla, MoreSpecificDevice) { CheckPickDeviceResult(kCPU0, false, {kCPU0, kCPU0Partial}); CheckPickDeviceResult(kGPU0, false, {kGPU0, kGPU0Partial}); // Unknown devices do not support merging of full and partial specifications. CheckPickDeviceHasError(false, {kXPU1, kXPU0Partial}); } TEST(PickDeviceForXla, DeviceOrder) { CheckPickDeviceResult(kGPU0, false, {kGPU0, kCPU0});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 5K bytes - Viewed (0)