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Results 1 - 10 of 417 for devices (0.09 sec)
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// A parallel tensor with scalar integers numbering component devices. std::unique_ptr<ParallelTensor> DeviceIDs(TFE_Context* context, TF_Status* status) const; // The number of devices operations run on. size_t num_underlying_devices() const { return underlying_devices_.size(); } // The devices operations run on. const std::vector<std::string>& underlying_devices() const {
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 13.1K bytes - Viewed (0) -
guava/src/com/google/common/base/Ascii.java
* * @since 8.0 */ public static final byte DLE = 16; /** * Device Control 1. Characters for the control of ancillary devices associated with data * processing or telecommunication systems, more especially switching devices "on" or "off." (If a * single "stop" control is required to interrupt or turn off ancillary devices, DC4 is the * preferred assignment.) * * @since 8.0 */
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Aug 02 13:50:22 UTC 2024 - 21.7K bytes - Viewed (0) -
android/guava/src/com/google/common/base/Ascii.java
* * @since 8.0 */ public static final byte DLE = 16; /** * Device Control 1. Characters for the control of ancillary devices associated with data * processing or telecommunication systems, more especially switching devices "on" or "off." (If a * single "stop" control is required to interrupt or turn off ancillary devices, DC4 is the * preferred assignment.) * * @since 8.0 */
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Aug 02 13:50:22 UTC 2024 - 21.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::vector<std::string> devices{ "/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:CPU:1"}; ParallelDevice parallel_device(std::move(devices)); std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> handle_op( TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
} } ParallelDevice::ParallelDevice(const std::vector<std::string>& devices, bool is_async, int in_flight_nodes_limit) : underlying_devices_(devices), default_cancellation_manager_(absl::make_unique<CancellationManager>()) { device_threads_.reserve(devices.size()); for (int device_index = 0; device_index < devices.size(); ++device_index) { device_threads_.emplace_back(new DeviceThread(
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
virtual bool UsesTFRT() = 0; // List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0; // Add `devices` into context's device manager. Context's device manager // will take ownership and maintain devices' lifetime. virtual absl::Status AddDevices( std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 12.3K bytes - Viewed (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) {
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 35.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
TFE_ContextListDevices(context.get(), status.get()), TF_DeleteDeviceList); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); bool has_tpu = false; for (int device_index = 0; device_index < TF_DeviceListCount(devices.get()); ++device_index) { std::string device_type = TF_DeviceListType(devices.get(), device_index, status.get());
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Aug 06 23:56:17 UTC 2024 - 29.4K bytes - Viewed (0) -
misc/ios/clangwrap.sh
#!/bin/sh # This script configures clang to target the iOS simulator. If you'd like to # build for real iOS devices, change SDK to "iphoneos" and PLATFORM to "ios". # This uses the latest available iOS SDK, which is recommended. To select a # specific SDK, run 'xcodebuild -showsdks' to see the available SDKs and replace # iphonesimulator with one of them. SDK=iphonesimulator PLATFORM=ios-simulator if [ "$GOARCH" == "arm64" ]; then CLANGARCH="arm64"
Registered: Tue Nov 05 11:13:11 UTC 2024 - Last Modified: Tue Jun 18 16:32:49 UTC 2024 - 724 bytes - Viewed (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.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 4.3K bytes - Viewed (0)