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Results 101 - 110 of 847 for device_1 (0.09 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_device.h
#include "mlir/Interfaces/SideEffectInterfaces.h" // from @llvm-project namespace mlir { namespace tf_device { // The TensorFlow Device dialect. // // This dialect contains operations to describe/launch computations on devices. // These operations do not map 1-1 to TensorFlow ops and requires a lowering // pass later to transform them into Compile/Run op pairs, like XlaCompile and // XlaRun.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 22 14:25:57 UTC 2022 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/tpu_cluster_util.cc
std::function<WalkResult(Operation*, tf_device::ClusterOp, std::optional<std::string>)> callback) { mlir::TF::RuntimeDevices devices; if (failed(tensorflow::GetDevicesFromOp(module, &devices))) return failure(); const CallGraph call_graph(module); // symbol_table caches callees in the CallGraph. SymbolTableCollection symbol_table;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 04:50:13 UTC 2023 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.cc
const auto sharding_type = sharding.type(); if (sharding_type == xla::OpSharding::OTHER) { for (const auto& device : sharding.tile_assignment_devices()) { CHECK(device >= 0 && device < input_mappings.size()); input_mappings[device].push_back(idx); } } else if (sharding_type == xla::OpSharding::REPLICATED) { for (auto& input : input_mappings) input.push_back(idx);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:28:13 UTC 2024 - 34K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tensor_device_copy_conversion.cc
TensorDeviceCopyConversionPass> { void runOnOperation() override; }; // Folds tf.IdentityOp and tf.IdentityNOp if op device and the argument devices // from the defining ops match. void TensorDeviceCopyConversionPass::runOnOperation() { func::FuncOp func_op = getOperation(); auto should_fold_op_func = [&func_op](const Value &arg, const StringAttr &op_device) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.3K bytes - Viewed (0) -
pkg/kubelet/apis/podresources/server_v1alpha1.go
// with device information provided by the DevicesProvider func NewV1alpha1PodResourcesServer(providers PodResourcesProviders) v1alpha1.PodResourcesListerServer { return &v1alpha1PodResourcesServer{ podsProvider: providers.Pods, devicesProvider: providers.Devices, } }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Mar 14 17:33:01 UTC 2023 - 2.6K bytes - Viewed (0) -
android-test/README.md
Android Test ============ A gradle module for running Android instrumentation tests on a device or emulator. 1. Add an Emulator named `pixel5`, if you don't already have one ``` $ sdkmanager --install "system-images;android-29;google_apis;x86" $ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86" ```
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Tue Feb 14 08:26:50 UTC 2023 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
ctx_->loadAllAvailableDialects(); // Create a CPU client with 1 device. TF_ASSERT_OK_AND_ASSIGN( pjrt_client_, xla::GetTfrtCpuClient(/*asynchronous=*/false, /*cpu_device_count=*/1)); device_ = pjrt_client_->addressable_devices().front(); CHECK(device_); } absl::StatusOr<OwningOpRef<ModuleOp>> ReplaceFuncArgsByConstant( absl::string_view program,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
pkg/kubelet/kubelet_volumes_test.go
Name: "vol1", VolumeSource: v1.VolumeSource{ GCEPersistentDisk: &v1.GCEPersistentDiskVolumeSource{ PDName: "fake-device1", }, }, }, { Name: "vol2", VolumeSource: v1.VolumeSource{ GCEPersistentDisk: &v1.GCEPersistentDiskVolumeSource{ PDName: "fake-device2", }, }, }, }, }) stopCh := runVolumeManager(kubelet) defer close(stopCh)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Apr 17 16:53:28 UTC 2023 - 20.4K bytes - Viewed (0) -
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) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/runtime_passes.td
}) {device = "/job:worker/replica:0/task:0/device:CPU:0"} : () -> (tensor<!tf_type.string>, tensor<3x!tf_type.string>) "tf_device.launch"() ( { "tf.TPUCompileSucceededAssert"(%0#0) : (tensor<!tf_type.string>) -> () tf_device.return }) {device = "/job:worker/replica:0/task:0/device:CPU:0"} : () -> () %1 = "tf_device.launch"() ( {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 10 18:58:57 UTC 2024 - 10.7K bytes - Viewed (0)