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d06e1df1aa
Rename the context type to match changes in executorch. Differential Revision: [D46977359](https://our.internmc.facebook.com/intern/diff/D46977359/) Pull Request resolved: https://github.com/pytorch/pytorch/pull/104892 Approved by: https://github.com/larryliu0820
54 lines
1.6 KiB
C++
54 lines
1.6 KiB
C++
#include "kernel_runtime_context.h"
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#include "operator_registry.h"
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#include <gtest/gtest.h>
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namespace torch {
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namespace executor {
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// add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
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TEST(OperatorRegistrationTest, Add) {
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EValue values[4];
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values[0] = EValue(at::ones({2, 3}));
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values[1] = EValue(at::ones({2, 3}));
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values[2] = EValue(int64_t(1));
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values[3] = EValue(at::zeros({2, 3}));
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ASSERT_TRUE(hasKernelFn("aten::add.out"));
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auto op = getKernelFn("aten::add.out");
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EValue* kernel_values[4];
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for (size_t i = 0; i < 4; i++) {
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kernel_values[i] = &values[i];
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}
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KernelRuntimeContext context{};
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op(context, kernel_values);
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at::Tensor expected = at::ones({2, 3});
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expected = at::fill(expected, 2);
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ASSERT_TRUE(expected.equal(kernel_values[3]->toTensor()));
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}
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// custom::add_3.out(Tensor a, Tensor b, Tensor c, *, Tensor(a!) out) -> Tensor(a!)
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TEST(OperatorRegistrationTest, CustomAdd3) {
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EValue values[4];
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values[0] = EValue(at::ones({2, 3}));
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values[1] = EValue(at::ones({2, 3}));
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values[2] = EValue(at::ones({2, 3}));
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values[3] = EValue(at::zeros({2, 3}));
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ASSERT_TRUE(hasKernelFn("custom::add_3.out"));
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auto op = getKernelFn("custom::add_3.out");
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EValue* kernel_values[4];
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for (size_t i = 0; i < 4; i++) {
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kernel_values[i] = &values[i];
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}
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KernelRuntimeContext context{};
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op(context, kernel_values);
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at::Tensor expected = at::ones({2, 3});
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expected = at::fill(expected, 3);
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ASSERT_TRUE(expected.equal(kernel_values[3]->toTensor()));
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}
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} // namespace executor
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} // namespace torch
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