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* Add test functions * Tweak conditional node behaviour * Fix id switch and include const-vars * Don't collapse branches with literal inputs * Cluster scan arguments and outputs * Run test cases * Install jaxlib for tests --------- Co-authored-by: zombie-einstein <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,95 @@ | ||
| import jax | ||
| import jax.numpy as jnp | ||
| import pytest | ||
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| import jpviz | ||
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| @jax.jit | ||
| def func1(first, second): | ||
| temp = first + jnp.sin(second) * 3.0 | ||
| return jnp.sum(temp) | ||
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| def func2(inner, first, second): | ||
| temp = first + inner(second) * 3.0 | ||
| return jnp.sum(temp) | ||
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| def inner_func(second): | ||
| if second.shape[0] > 4: | ||
| return jnp.sin(second) | ||
| else: | ||
| assert False | ||
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| @jax.jit | ||
| def func3(first, second): | ||
| return func2(inner_func, first, second) | ||
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| @jax.jit | ||
| def func4(arg): | ||
| temp = arg[0] + jnp.sin(arg[1]) * 3.0 | ||
| return jnp.sum(temp) | ||
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| @jax.jit | ||
| def one_of_three(index, arg): | ||
| return jax.lax.switch( | ||
| index, [lambda x: x + 1.0, lambda x: x - 2.0, lambda x: x + 3.0], arg | ||
| ) | ||
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| @jax.jit | ||
| def func7(arg): | ||
| return jax.lax.cond( | ||
| arg >= 0.0, lambda x_true: x_true + 3.0, lambda x_false: x_false - 3.0, arg | ||
| ) | ||
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| @jax.jit | ||
| def func8(arg1, arg2): | ||
| return jax.lax.cond( | ||
| arg1 >= 0.0, | ||
| lambda x_true: x_true[0], | ||
| lambda x_false: jnp.array([1]) + x_false[1], | ||
| arg2, | ||
| ) | ||
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| @jax.jit | ||
| def func10(arg, n): | ||
| ones = jnp.ones(arg.shape) | ||
| return jax.lax.fori_loop( | ||
| 0, n, lambda i, carry: carry + ones * 3.0 + arg, arg + ones | ||
| ) | ||
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| @jax.jit | ||
| def func11(arr, extra): | ||
| ones = jnp.ones(arr.shape) | ||
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| def body(carry, a_elems): | ||
| ae1, ae2 = a_elems | ||
| return carry + ae1 * ae2 + extra, carry | ||
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| return jax.lax.scan(body, 0.0, (arr, ones)) | ||
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| test_cases = [ | ||
| (func1, [jnp.zeros(8), jnp.ones(8)]), | ||
| (func3, [jnp.zeros(8), jnp.ones(8)]), | ||
| (func4, [(jnp.zeros(8), jnp.ones(8))]), | ||
| (one_of_three, [1, 5.0]), | ||
| (func7, [5.0]), | ||
| (func8, [5.0, (jnp.zeros(1), 2.0)]), | ||
| (func10, [jnp.ones(16), 5]), | ||
| (func11, [jnp.ones(16), 5.0]), | ||
| ] | ||
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| @pytest.mark.parametrize("f, args", test_cases) | ||
| def test_works(f, args): | ||
| _ = jpviz.draw(f, collapse_primitives=True)(*args) | ||
| _ = jpviz.draw(f, collapse_primitives=False)(*args) |