mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-22 19:23:30 +00:00
11b369a864
Applies to all public headers and macros, plus many internal ones. There are still some internal things with OnnxRuntime in the name, but this fixes all public functions & macros.
69 lines
2.5 KiB
C++
69 lines
2.5 KiB
C++
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#include <iostream>
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#include "core/framework/execution_providers.h"
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#include "core/framework/op_kernel.h"
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#include "core/framework/session_state.h"
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#include "core/graph/graph_viewer.h"
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#include "core/graph/model.h"
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#include "core/graph/op.h"
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#include "core/providers/cpu/cpu_execution_provider.h"
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#include "gtest/gtest.h"
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using namespace ONNX_NAMESPACE;
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using namespace std;
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namespace onnxruntime {
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namespace test {
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class TestOpKernel : public OpKernel {
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public:
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TestOpKernel(const OpKernelInfo& p) : OpKernel(p) {}
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Status Compute(OpKernelContext* context) const {
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ORT_UNUSED_PARAMETER(context);
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return Status::OK();
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}
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Status ComputeAsync(OpKernelContext* context, DoneCallback done) const {
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ORT_UNUSED_PARAMETER(context);
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ORT_UNUSED_PARAMETER(done);
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return Status::OK();
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}
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};
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TEST(SessionStateTest, AddGetKernelTest) {
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ONNX_OPERATOR_SCHEMA(Variable)
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.SetDoc("Input variable.")
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.Output(0, "output_1", "docstr for output_1.", "tensor(int32)");
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ExecutionProviders execution_providers;
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SessionState s{execution_providers};
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onnxruntime::Model model("graph_1");
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auto& graph = model.MainGraph();
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std::vector<onnxruntime::NodeArg*> inputs;
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std::vector<onnxruntime::NodeArg*> outputs;
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TypeProto output_type;
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output_type.mutable_tensor_type()->set_elem_type(TensorProto_DataType_INT32);
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output_type.mutable_tensor_type()->mutable_shape()->add_dim()->set_dim_value(1);
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onnxruntime::NodeArg output_arg("node_1_out_1", &output_type);
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outputs.push_back(&output_arg);
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onnxruntime::Node& node = graph.AddNode("node_1", "Variable", "node 1.", inputs, outputs);
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auto status = graph.Resolve();
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EXPECT_TRUE(status.IsOK());
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KernelDef kernel_def;
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CPUExecutionProvider execution_provider{CPUExecutionProviderInfo{"CPUExecutionProvider"}};
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OpKernelInfo p_info(node, kernel_def, execution_provider, s);
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unique_ptr<TestOpKernel> p_kernel;
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p_kernel.reset(new TestOpKernel(p_info));
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size_t orig_num_outputs = p_kernel->Node().OutputDefs().size();
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std::cout << "node_idx: " << node.Index() << std::endl;
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s.SetGraphViewer(std::make_unique<GraphViewer>(graph));
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s.AddKernel(node.Index(), std::move(p_kernel));
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auto test_kernel = s.GetKernel(node.Index());
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std::cout << "orig: " << orig_num_outputs << " new: " << test_kernel->Node().OutputDefs().size() << std::endl;
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EXPECT_EQ(orig_num_outputs, test_kernel->Node().OutputDefs().size());
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}
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} // namespace test
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} // namespace onnxruntime
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