blob: eed4c31c70c8a4b0330603cfa205a1ec8ce653cc [file] [log] [blame]
#include "kernel_runtime_context.h"
#include "operator_registry.h"
#include <gtest/gtest.h>
namespace torch {
namespace executor {
// add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
TEST(OperatorRegistrationTest, Add) {
EValue values[4];
values[0] = EValue(at::ones({2, 3}));
values[1] = EValue(at::ones({2, 3}));
values[2] = EValue(int64_t(1));
values[3] = EValue(at::zeros({2, 3}));
ASSERT_TRUE(hasKernelFn("aten::add.out"));
auto op = getKernelFn("aten::add.out");
EValue* kernel_values[4];
for (size_t i = 0; i < 4; i++) {
kernel_values[i] = &values[i];
}
KernelRuntimeContext context{};
op(context, kernel_values);
at::Tensor expected = at::ones({2, 3});
expected = at::fill(expected, 2);
ASSERT_TRUE(expected.equal(kernel_values[3]->toTensor()));
}
// custom::add_3.out(Tensor a, Tensor b, Tensor c, *, Tensor(a!) out) -> Tensor(a!)
TEST(OperatorRegistrationTest, CustomAdd3) {
EValue values[4];
values[0] = EValue(at::ones({2, 3}));
values[1] = EValue(at::ones({2, 3}));
values[2] = EValue(at::ones({2, 3}));
values[3] = EValue(at::zeros({2, 3}));
ASSERT_TRUE(hasKernelFn("custom::add_3.out"));
auto op = getKernelFn("custom::add_3.out");
EValue* kernel_values[4];
for (size_t i = 0; i < 4; i++) {
kernel_values[i] = &values[i];
}
KernelRuntimeContext context{};
op(context, kernel_values);
at::Tensor expected = at::ones({2, 3});
expected = at::fill(expected, 3);
ASSERT_TRUE(expected.equal(kernel_values[3]->toTensor()));
}
} // namespace executor
} // namespace torch