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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
name: TensorFlow Lite in Play Services issue about: Use this template for issues with TensorFlow Lite in Google Play Services labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`):
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Jun 15 03:35:58 GMT 2022 - 880 bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
const char* first_device = "/job:worker/replica:0/task:1/device:CPU:0"; const char* second_device = "/job:worker/replica:0/task:2/device:CPU:0"; const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; std::array<const char*, 2> underlying_devices{first_device, second_device}; RegisterParallelDevice(context.get(), device_name, underlying_devices, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// returned by DeviceName should be "/device:GPU:*" until a particular GPU is // chosen for the operation by the device placement logic in the // executor. After that, the value returned by DeviceName will be a full // device name such as "/job:localhost/replica:0/task:0/device:GPU:1". virtual const string& DeviceName() const = 0; // Sets the operation device name. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/dlpack_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const DLTensor* dltensor_out = &dlm_out->dl_tensor; EXPECT_EQ(dltensor_out->device.device_type, dltensor_in->device.device_type); EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id); EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim); EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
if _os.path.exists(_plugin_dir): _ll.load_library(_plugin_dir) # Load Pluggable Device Library _ll.load_pluggable_device_library(_plugin_dir) if _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH", ""): _ll.load_pluggable_device_library( _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH") ) # Add Keras module aliases
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
} Status s; const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", device=\"", device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
void TF_AbstractOpSetOpType(TF_AbstractOp* op, const char* const op_type, TF_Status* s) { tsl::Set_TF_Status_from_Status( s, unwrap(op)->Reset(op_type, /*raw_device_name=*/nullptr)); } void TF_AbstractOpSetOpName(TF_AbstractOp* op, const char* const op_name, TF_Status* s) { TracingOperation* tracing_op = dyn_cast<TracingOperation>(unwrap(op));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_operation.h
virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
if _os.path.exists(_plugin_dir): _ll.load_library(_plugin_dir) # Load Pluggable Device Library _ll.load_pluggable_device_library(_plugin_dir) if _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH", ""): _ll.load_pluggable_device_library( _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH") ) # Delete modules that should be hidden from dir().
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.cc
ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); } else if (!async) { // Set the local device to CPU to easily validate mirroring string cpu_device_name; ASSERT_TRUE(GetDeviceName(ctx, &cpu_device_name, "CPU")); TFE_OpSetDevice(matmul, cpu_device_name.c_str(), status); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); auto remote_arg =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0)