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internal/disk/directio_unsupported.go
// so there is no risk of polluting the entire cache with data accessed once. // Another goal of DirectIO is to minimize the mutation of data by the kernel // before issuing IO to underlying devices. ZFS users often enable features like // compression and checksumming which currently necessitates mutating data in // the kernel. // // DirectIO semantics for a filesystem like ZFS would be quite different than
Created: Sun Apr 05 19:28:12 GMT 2026 - Last Modified: Wed Oct 18 18:08:15 GMT 2023 - 2.6K bytes - Click Count (0) -
samples/guide/src/main/java/okhttp3/recipes/kt/YubikeyClientAuth.kt
* Prefer recent JDK builds, and results are temperamental to slight environment changes. * Different instructions and configuration may be required for other hardware devices. * * Using a yubikey device as a SSL key store. * https://lauri.võsandi.com/2017/03/yubikey-for-ssh-auth.html * * Using PKCS11 support in the JDK. * https://tersesystems.com/blog/2018/09/08/keymanagers-and-keystores/ *
Created: Fri Apr 03 11:42:14 GMT 2026 - Last Modified: Sat May 10 11:15:14 GMT 2025 - 4.2K bytes - Click Count (0) -
misc/ios/README
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: GOOS=ios GOARCH=arm64 CGO_ENABLED=1 CC_FOR_TARGET=$(pwd)/../misc/ios/clangwrap.sh ./all.bash
Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Tue Dec 29 21:49:26 GMT 2020 - 2.7K bytes - Click Count (0) -
tensorflow/c/eager/custom_device_test.cc
ASSERT_TRUE(executed); TFE_DeleteTensorHandle(retval); // Custom device: inputs in different custom devices fails. matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom1.get())); num_retvals = 1; TFE_Execute(matmul.get(), &retval, &num_retvals, status.get()); ASSERT_NE(TF_OK, TF_GetCode(status.get())); ASSERT_TRUE(absl::StrContains(TF_Message(status.get()), custom0));
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Click Count (0) -
tensorflow/c/eager/c_api_experimental.cc
// in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) { d = devices.erase(d); } else { ++d; } } status->status = tensorflow::unwrap(ctx)->AddDevices(std::move(devices)); } void TFE_InsertConfigKeyValue(TFE_Context* ctx, const char* key, const char* value, TF_Status* status) {
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Oct 12 05:11:17 GMT 2024 - 35.9K bytes - Click Count (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.h
// devices. virtual absl::Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle. virtual const char* DeviceName(absl::Status* status) const = 0; // Returns the device where the tensor was placed. virtual const char* BackingDeviceName(absl::Status* status) const = 0; // Returns the device type which created the handle.
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Oct 12 05:11:17 GMT 2024 - 4.3K bytes - Click Count (0) -
src/main/java/jcifs/internal/smb2/rdma/disni/DisniRdmaProvider.java
try { // Check if DiSNI is available on the classpath Class.forName("com.ibm.disni.RdmaActiveEndpointGroup"); // Additional checks could include: // - Verifying RDMA devices are available // - Testing basic RDMA operations // - Checking for required native libraries return true; } catch (ClassNotFoundException e) {Created: Sun Apr 05 00:10:12 GMT 2026 - Last Modified: Sun Aug 24 00:12:28 GMT 2025 - 5.2K bytes - Click Count (0) -
tensorflow/c/eager/c_api.cc
TF_Status status; // Let this custom device choose the device to pin this op on if it // implements the pinning function. if (device_.shall_pin_to_this_device != nullptr) { return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status); } return errors::Unimplemented("No custom device pinning implementation."); } private: TFE_Context* context_;Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Fri Nov 07 05:55:21 GMT 2025 - 43.9K bytes - Click Count (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...
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Sep 06 15:26:23 GMT 2021 - 3.5K bytes - Click Count (0) -
internal/disk/stat_linux.go
info.Name = devName qst, err := bfs.SysBlockDeviceQueueStats(devName) if err != nil { // Mostly not found error // Check if there is a parent device: // e.g. if the mount is based on /dev/nvme0n1p1, let's calculate the // real device name (nvme0n1) to get its sysfs information parentDevPath, e := os.Readlink("/sys/class/block/" + devName) if e == nil {
Created: Sun Apr 05 19:28:12 GMT 2026 - Last Modified: Sun Sep 28 20:59:21 GMT 2025 - 4.8K bytes - Click Count (0)