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tensorflow/c/c_api_experimental.cc
auto collective_executor_handle = context->GetCollectiveExecutorHandle(); tensorflow::Notification done; collective_executor_handle->get()->remote_access()->CheckPeerHealth( task, timeout_in_ms, [&done, status](const Status& s) { status->status = s; done.Notify(); }); done.WaitForNotification(); } TF_ShapeAndTypeList* TF_NewShapeAndTypeList(int num_items) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad_test.cc
} TEST_P(CppGradients, TestMatMulGrad) { // TODO(vnvo2409): Figure out why `gradient_checker` does not work very // well with `MatMul` and remove `TestMatMul*` in // `mnist_gradients_test` when done. GTEST_SKIP(); float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}; int64_t A_dims[] = {3, 3}; AbstractTensorHandlePtr A; { AbstractTensorHandle* A_raw;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> one( TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle); op.reset(TFE_NewOp(context.get(), "AssignVariableOp", status.get())); TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT); TFE_OpAddInput(op.get(), var_handle, status.get()); TFE_OpAddInput(op.get(), one.get(), status.get()); TFE_OpSetDevice(op.get(), name, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
values[0] = v; return TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes, &FloatDeallocator, nullptr); } // All the *Helper methods are used as a workaround for the restrictions that // one cannot call ASSERT_* methods in non-void-returning functions (when // exceptions are disabled during compilation) void PlaceholderHelper(TF_Graph* graph, TF_Status* s, const char* name,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); TensorHandlePtr negative_one_cpu(FloatTensorHandle(3., status.get())); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); components[0] = negative_one_cpu.get(); components[1] = negative_one_cpu.get(); TensorHandlePtr first_negative_one = CreatePerDeviceValues( context.get(), components, first_device_name, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
} // Add a parallel tensor with different values on each device to the variable. { TensorHandlePtr value_one(FloatTensorHandle(3., status.get())); TensorHandlePtr value_two(FloatTensorHandle(-2., status.get())); std::array<TFE_TensorHandle*, 2> components{value_one.get(), value_two.get()}; TensorHandlePtr combined_value =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Outputs: std::vector<TensorHandlePtr> op_outputs_ TF_GUARDED_BY(execution_mutex_); // TF_Status is an incomplete type and so can't be stack allocated. To avoid // unnecessary allocations each Execute call, we keep one heap-allocated // version for the thread. StatusPtr status_ TF_GUARDED_BY(execution_mutex_); const std::string device_; ExecutorPtr executor_ TF_GUARDED_BY(execution_mutex_);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either // need to return something here or address these use-cases one by one. TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor, const char* target_device_name,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
const char task1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; const char task2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0"; // Create one variable per task. TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name); TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name); TFE_TensorHandle* h2 = TestVariable(ctx, 3.0, task0_name);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
#include "tensorflow/core/platform/env.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { // Checks that all schemes provided by a plugin are valid. // TODO(b/139060984): More validation could be done here, based on supported // charset, maximum length, etc. Punting it for later. static Status ValidateScheme(const char* scheme) { if (scheme == nullptr) return errors::InvalidArgument(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0)