mlx/tests/compile_tests.cpp

// Copyright © 2023 Apple Inc.

#include "doctest/doctest.h"

#include "mlx/mlx.h"

using namespace mlx::core;

std::vector<array> simple_fun(const std::vector<array>& inputs) {
  return std::vector<array>{inputs[0] + inputs[1]};
}

TEST_CASE("test simple compile") {
  auto compfn = compile(simple_fun);
  auto out = compfn({array(1.0f), array(2.0f)})[0];
  CHECK_EQ(out.item<float>(), 3.0f);

  out = compfn({array(1.0f), array(2.0f)})[0];
  CHECK_EQ(out.item<float>(), 3.0f);

  // Change the shapes
  out = compfn({array({1.0f, 2.0f}), array(2.0f)})[0];
  CHECK(array_equal(out, array({3.0f, 4.0f})).item<bool>());

  out = compfn({array(2.0f), array({1.0f, 2.0f})})[0];
  CHECK(array_equal(out, array({3.0f, 4.0f})).item<bool>());

  // Change the types
  out = compfn({array(2, int32), array({1.0f, 2.0f})})[0];
  CHECK(array_equal(out, array({3.0f, 4.0f})).item<bool>());

  out = compfn({array(2.0f), array({1, 2}, int32)})[0];
  CHECK(array_equal(out, array({3.0f, 4.0f})).item<bool>());
}

std::vector<array> fun1(const std::vector<array>& inputs) {
  auto loss = [](std::vector<array> ins) { return exp(ins[0] + ins[1]); };
  return grad(loss)(inputs);
}

TEST_CASE("test compile with grad") {
  auto x = array(1.0f);
  auto y = array(1.0f);
  auto grads_expected = fun1({x, y});
  auto grads_compile = compile(fun1)({x, y});
  CHECK_EQ(grads_compile[0].item<float>(), grads_expected[0].item<float>());
}

TEST_CASE("test nested compile") {}