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tensorflow/c/c_api_test.cc
src.flat<tstring>()(i) = data[i]; } TF_Tensor* dst = TF_TensorFromTensor(src, &status); ASSERT_TRUE(status.ok()) << status.message(); // Convert back to a C++ Tensor and ensure we get expected output. Tensor output; ASSERT_EQ(absl::OkStatus(), TF_TensorToTensor(dst, &output)) << line; ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/c_api.cc
opts->opts.control_dependencies.push_back(oper->node.name()); } void TF_ImportGraphDefOptionsAddReturnOutput(TF_ImportGraphDefOptions* opts, const char* oper_name, int index) { opts->tensor_id_data.push_back(oper_name); const string& oper_name_str = opts->tensor_id_data.back(); opts->opts.return_tensors.emplace_back(oper_name_str, index); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
}; TEST_P(CppGradients, TestIdentityNGrad) { // This test is interesting because the current implementation of GradientTape // would return [0, 1] whereas we use build_default_zeros_grads=false here // so we get back [nullptr, 1]. AbstractTensorHandlePtr x1; { AbstractTensorHandle* x1_raw = nullptr; status_ = TestScalarTensorHandle<float, TF_FLOAT>( immediate_execution_ctx_.get(), 1.0f, &x1_raw);
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
CONTRIBUTING.md
- If the PR passes all the quality checks then we go ahead and assign a reviewer. - If the PR didn't meet the validation criteria, we request for additional changes to be made to PR to pass quality checks and send it back or on a rare occasion we may reject it. **3. Review** - For a valid PR, reviewer (person familiar with the code/functionality) checks if the PR looks good or needs additional changes.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
std::vector<PartialTensorShape> shapes; shapes.reserve(num_values); for (int i = 0; i < num_values; ++i) { if (num_dims[i] < 0) { shapes.emplace_back(); } else { shapes.emplace_back(ArraySlice<int64_t>( reinterpret_cast<const int64_t*>(dims[i]), num_dims[i])); } } op_->node_builder.Attr(attr_name, shapes); return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.cc
PartialTensorShape shape; TF_RETURN_IF_ERROR(input->Shape(&shape)); TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter( input->DataType(), shape, &handle)); params->emplace_back(handle); } return absl::OkStatus(); } // Runs `model` maybe wrapped in a function. Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/c_api_test_util.cc
EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); const int num_devices = TF_DeviceListCount(devices); for (int i = 0; i < num_devices; ++i) { device_names.emplace_back(TF_DeviceListName(devices, i, status)); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); } TF_DeleteDeviceList(devices); TF_DeleteStatus(status); return device_names;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/eager/c_api_experimental.cc
absl::Span<tensorflow::ImmediateExecutionTensorHandle*>( tensorflow::unwrap(handles), *num_handles), &result); return tensorflow::wrap(result); } tensor_handles.push_back( tensorflow::TensorHandleFromInterface(unwrapped_handle)); } tensorflow::EagerContext* context = tensorflow::ContextFromInterface(tensorflow::unwrap(ctx)); tensorflow::TensorHandle* handle = nullptr;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
RELEASE.md
* XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT compilation is enabled. * Fix problem, when running on a CUDA GPU and when either environment
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)