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Summary: (otherwise len is not resolvable using torch::jit::compile) Pull Request resolved: https://github.com/pytorch/pytorch/pull/15488 Differential Revision: D13539991 Pulled By: zdevito fbshipit-source-id: 3ba85fa7b1adb163f9229c568f7997d22321903d
36 lines
907 B
C++
36 lines
907 B
C++
#include <gtest/gtest.h>
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#include <torch/jit.h>
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#include <torch/types.h>
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#include <string>
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TEST(TorchScriptTest, CanCompileMultipleFunctions) {
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auto module = torch::jit::compile(R"JIT(
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def test_mul(a, b):
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return a * b
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def test_relu(a, b):
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return torch.relu(a + b)
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def test_while(a, i):
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while bool(i < 10):
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a += a
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i += 1
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return a
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def test_len(a : List[int]):
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return len(a)
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)JIT");
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auto a = torch::ones(1);
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auto b = torch::ones(1);
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ASSERT_EQ(1, module->run_method("test_mul", a, b).toTensor().item<int64_t>());
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ASSERT_EQ(2, module->run_method("test_relu", a, b).toTensor().item<int64_t>());
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ASSERT_TRUE(
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0x200 == module->run_method("test_while", a, b).toTensor().item<int64_t>());
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at::IValue list = std::vector<int64_t>({3, 4});
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ASSERT_EQ(2, module->run_method("test_len", list).toInt());
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}
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