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Results 81 - 90 of 1,177 for kDevice (0.12 sec)
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pkg/volume/util/volumepathhandler/volume_path_handler_linux.go
if err != nil { if _, err := os.Stat(device); os.IsNotExist(err) { return nil } klog.V(2).Infof("Failed to remove loopback device: %s: %v %s", device, err, out) return fmt.Errorf("losetup -d %s failed: %v", device, err) } return nil } // getLoopDeviceFromSysfs finds the backing file for a loop // device from sysfs via "/sys/block/loop*/loop/backing_file".
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Jun 20 14:49:03 UTC 2023 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/launch_outlining.mlir
// CHECK: %[[LAUNCH_OUTPUT:[0-9]*]] = "tf_device.launch_func"(%[[A_OUTPUT]]) <{device = "/device:test_device:0", func = @[[LAUNCH:.*]]}> %3 = "tf_device.launch"() ({ %4 = "tf.B"(%2) : (tensor<?xi32>) -> tensor<?xi32> tf_device.return %4 : tensor<?xi32> }) {device = "/device:test_device:0"} : () -> tensor<?xi32> // CHECK: tf_executor.yield %[[LAUNCH_OUTPUT]] tf_executor.yield %3 : tensor<?xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_device_inference.cc
#define DEBUG_TYPE "tf-resource-device-inference" namespace mlir { namespace TF { namespace { constexpr char kDeviceAttr[] = "device"; constexpr char kFuncDeviceAttr[] = "tf.device"; #define GEN_PASS_DEF_RESOURCEDEVICEINFERENCEPASS #include "tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.h.inc" // A pass that propagates device assignment of resources on a module. It
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 03:47:00 UTC 2023 - 13.3K bytes - Viewed (0) -
tensorflow/c/experimental/stream_executor/stream_executor.h
// OnTFDeviceView(params->device->struct_size); // params->device = { SP_DEVICE_STRUCT_SIZE }; // params->device->device_handle = get_my_device_handle(device->ordinal); // params->device->ordinal = params->ordinal; // ... // } // // void destroy_device(const SP_Platform* platform, SP_Device* device) { // delete_my_device_handle(device->device_handle); // } // // void SE_InitPlugin(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 24 08:40:35 UTC 2022 - 21.6K bytes - Viewed (0) -
pkg/kubelet/cm/util/cdi/cdi.go
if vendor == "" { return "", "", device, fmt.Errorf("unqualified device %q, missing vendor", device) } if class == "" { return "", "", device, fmt.Errorf("unqualified device %q, missing class", device) } if name == "" { return "", "", device, fmt.Errorf("unqualified device %q, missing device name", device) } if err := validateVendorName(vendor); err != nil {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Jul 11 09:48:24 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/rewrite_util.cc
namespace mlir { namespace TF { namespace { const char kDeviceAttr[] = "device"; const char kDeviceGpu[] = "GPU"; std::optional<std::string> GetOpDevice(mlir::Operation *op) { mlir::StringAttr device = op->getAttrOfType<mlir::StringAttr>(kDeviceAttr); if (!device || device.getValue().empty()) { return std::nullopt; } tensorflow::DeviceNameUtils::ParsedName parsed_name;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_base_device.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/analysis/cost_analysis.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.pbtxt
node { name: "G4SM2HGMB5" op: "VarHandleOp" device: "/job:localhost/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { s: "loc:@G4SM2HGMB5/Read/ReadVariableOp" } } } attr { key: "container" value { s: "" } } attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 02:52:54 UTC 2019 - 1.1M bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/cluster_formation.mlir
// CHECK-SAME: <{device = "tpu0"}> // CHECK: %[[B_OUTPUT:[0-9]*]] = "tf.B"(%[[A_OUTPUT]]) : (tensor<?xi32>) -> tensor<?xi32> %3 = "tf.B"(%2) {device = "tpu0"} : (tensor<?xi32>) -> tensor<?xi32> // CHECK: %[[C_OUTPUT:[0-9]*]] = "tf.C"(%[[A_OUTPUT]], %[[B_OUTPUT]]) : (tensor<?xi32>, tensor<?xi32>) -> tensor<?xi32> %4 = "tf.C"(%2, %3) {device = "tpu0"} : (tensor<?xi32>, tensor<?xi32>) -> tensor<?xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 14.9K bytes - Viewed (0)