Files
jaxtyping/test/test_array.py
T
Patrick Kidger a53fe6af57 Changes from feedback:
- Float32 introduced to replace f32 (etc.)
- Old f32 aliases were previously around for backward-compatibility, but
  the code is pretty hideous, and all stakeholders are now on board
  through RFC #13.
- Overall feedback was that Int{Sign,Unsign} was too long and not enough
  like numpy. Changed to Int, UInt, and Integer.
2022-09-07 11:09:48 -07:00

408 lines
9.8 KiB
Python

# Copyright (c) 2022 Google LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
# the Software, and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import jax.numpy as jnp
import jax.random as jr
import pytest
from jaxtyping import Array, Float, Float32, jaxtyped, Shaped
from .helpers import ParamError, ReturnError
def test_basic(typecheck):
@jaxtyped
@typecheck
def g(x: Shaped[Array, "..."]):
pass
g(jnp.array(1.0))
def test_dtypes():
from jaxtyping import ( # noqa: F401
Array,
BFloat16,
Bool,
Complex,
Complex64,
Complex128,
Float,
Float16,
Float32,
Float64,
Inexact,
Int,
Int8,
Int16,
Int32,
Int64,
Num,
Shaped,
UInt,
UInt8,
UInt16,
UInt32,
UInt64,
)
def test_return(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float[Array, "b c"]) -> Float[Array, "c b"]:
return jnp.transpose(x)
g(jr.normal(getkey(), (3, 4)))
@jaxtyped
@typecheck
def h(x: Float[Array, "b c"]) -> Float[Array, "b c"]:
return jnp.transpose(x)
with pytest.raises(ReturnError):
h(jr.normal(getkey(), (3, 4)))
def test_two_args(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Shaped[Array, "b c"], y: Shaped[Array, "c d"]):
return x @ y
g(jr.normal(getkey(), (3, 4)), jr.normal(getkey(), (4, 5)))
with pytest.raises(ParamError):
g(jr.normal(getkey(), (3, 4)), jr.normal(getkey(), (5, 4)))
@jaxtyped
@typecheck
def h(x: Shaped[Array, "b c"], y: Shaped[Array, "c d"]) -> Shaped[Array, "b d"]:
return x @ y
h(jr.normal(getkey(), (3, 4)), jr.normal(getkey(), (4, 5)))
with pytest.raises(ParamError):
h(jr.normal(getkey(), (3, 4)), jr.normal(getkey(), (5, 4)))
def test_any_dtype(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Shaped[Array, "a b"]) -> Shaped[Array, "a b"]:
return x
g(jr.normal(getkey(), (3, 4)))
g(jnp.array([[True, False]]))
g(jnp.array([[1, 2], [3, 4]], dtype=jnp.int8))
g(jnp.array([[1, 2], [3, 4]], dtype=jnp.uint16))
g(jr.normal(getkey(), (3, 4), dtype=jnp.complex128))
g(jr.normal(getkey(), (3, 4), dtype=jnp.bfloat16))
with pytest.raises(ParamError):
g(jr.normal(getkey(), (1,)))
def test_nested_jaxtyped(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, "b c"], transpose: bool) -> Float32[Array, "c b"]:
return h(x, transpose)
@jaxtyped
@typecheck
def h(x: Float32[Array, "c b"], transpose: bool) -> Float32[Array, "b c"]:
if transpose:
return jnp.transpose(x)
else:
return x
g(jr.normal(getkey(), (2, 3)), True)
g(jr.normal(getkey(), (3, 3)), True)
g(jr.normal(getkey(), (3, 3)), False)
with pytest.raises(ReturnError):
g(jr.normal(getkey(), (2, 3)), False)
def test_nested_nojaxtyped(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, "b c"]):
return h(x)
@typecheck
def h(x: Float32[Array, "c b"]):
return x
with pytest.raises(ParamError):
g(jr.normal(getkey(), (2, 3)))
def test_isinstance(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, "b c"]) -> Float32[Array, " z"]:
y = jnp.transpose(x)
assert isinstance(y, Float32[Array, "c b"])
assert not isinstance(
y, Float32[Array, "b z"]
) # z left unbound as b!=c (unless x symmetric, which it isn't)
out = jr.normal(getkey(), (500,))
assert isinstance(out, Float32[Array, "z"]) # z now bound
return out
g(jr.normal(getkey(), (2, 3)))
def test_fixed(typecheck, getkey):
@jaxtyped
@typecheck
def g(
x: Float32[Array, "4 5 foo"], y: Float32[Array, " foo"]
) -> Float32[Array, "4 5"]:
return x @ y
a = jr.normal(getkey(), (4, 5, 2))
b = jr.normal(getkey(), (2,))
assert g(a, b).shape == (4, 5)
c = jr.normal(getkey(), (3, 5, 2))
with pytest.raises(ParamError):
g(c, b)
def test_anonymous(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, "foo _"], y: Float32[Array, " _"]):
pass
a = jr.normal(getkey(), (3, 4))
b = jr.normal(getkey(), (5,))
g(a, b)
def test_named_variadic(typecheck, getkey):
@jaxtyped
@typecheck
def g(
x: Float32[Array, "*batch foo"],
y: Float32[Array, " *batch"],
z: Float32[Array, " foo"],
):
pass
c = jr.normal(getkey(), (5,))
a1 = jr.normal(getkey(), (5,))
b1 = jr.normal(getkey(), ())
g(a1, b1, c)
a2 = jr.normal(getkey(), (3, 5))
b2 = jr.normal(getkey(), (3,))
g(a2, b2, c)
with pytest.raises(ParamError):
g(a1, b2, c)
with pytest.raises(ParamError):
g(a2, b1, c)
@jaxtyped
@typecheck
def h(x: Float32[Array, " foo *batch"], y: Float32[Array, " foo *batch bar"]):
pass
a = jr.normal(getkey(), (4,))
b = jr.normal(getkey(), (4, 3))
c = jr.normal(getkey(), (3, 4))
h(a, b)
with pytest.raises(ParamError):
h(a, c)
with pytest.raises(ParamError):
h(b, c)
def test_anonymous_variadic(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, "... foo"], y: Float32[Array, " foo"]):
pass
a1 = jr.normal(getkey(), (5,))
a2 = jr.normal(getkey(), (3, 5))
a3 = jr.normal(getkey(), (3, 4, 5))
b = jr.normal(getkey(), (5,))
c = jr.normal(getkey(), (1,))
g(a1, b)
g(a2, b)
g(a3, b)
with pytest.raises(ParamError):
g(a1, c)
with pytest.raises(ParamError):
g(a2, c)
with pytest.raises(ParamError):
g(a3, c)
def test_broadcast_fixed(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, "#4"]):
pass
g(jr.normal(getkey(), (4,)))
g(jr.normal(getkey(), (1,)))
with pytest.raises(ParamError):
g(jr.normal(getkey(), (3,)))
def test_broadcast_named(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, " #foo"], y: Float32[Array, " #foo"]):
pass
a = jr.normal(getkey(), (3,))
b = jr.normal(getkey(), (4,))
c = jr.normal(getkey(), (1,))
g(a, a)
g(b, b)
g(c, c)
g(a, c)
g(b, c)
g(c, a)
g(c, b)
with pytest.raises(ParamError):
g(a, b)
with pytest.raises(ParamError):
g(b, a)
def test_broadcast_variadic_named(typecheck, getkey):
@jaxtyped
@typecheck
def g(x: Float32[Array, " *#foo"], y: Float32[Array, " *#foo"]):
pass
a = jr.normal(getkey(), (3,))
b = jr.normal(getkey(), (4,))
c = jr.normal(getkey(), (4, 4))
d = jr.normal(getkey(), (5, 6))
j = jr.normal(getkey(), (1,))
k = jr.normal(getkey(), (1, 4))
l = jr.normal(getkey(), (5, 1)) # noqa: E741
m = jr.normal(getkey(), (1, 1))
n = jr.normal(getkey(), (2, 1))
o = jr.normal(getkey(), (1, 6))
g(a, a)
g(b, b)
g(c, c)
g(d, d)
g(b, c)
with pytest.raises(ParamError):
g(a, b)
with pytest.raises(ParamError):
g(a, c)
with pytest.raises(ParamError):
g(a, b)
with pytest.raises(ParamError):
g(d, b)
g(a, j)
g(b, j)
g(c, j)
g(d, j)
g(b, k)
g(c, k)
with pytest.raises(ParamError):
g(d, k)
with pytest.raises(ParamError):
g(c, l)
g(d, l)
g(a, m)
g(c, m)
g(d, m)
g(a, n)
g(b, n)
with pytest.raises(ParamError):
g(c, n)
with pytest.raises(ParamError):
g(d, n)
g(o, d)
with pytest.raises(ParamError):
g(o, c)
with pytest.raises(ParamError):
g(o, a)
def test_no_commas():
with pytest.raises(ValueError):
Float32[Array, "foo, bar"]
def test_symbolic(typecheck, getkey):
@jaxtyped
@typecheck
def make_slice(x: Float32[Array, " dim"]) -> Float32[Array, " dim-1"]:
return x[1:]
@jaxtyped
@typecheck
def cat(x: Float32[Array, " dim"]) -> Float32[Array, " 2*dim"]:
return jnp.concatenate([x, x])
@jaxtyped
@typecheck
def bad_make_slice(x: Float32[Array, " dim"]) -> Float32[Array, " dim-1"]:
return x
@jaxtyped
@typecheck
def bad_cat(x: Float32[Array, " dim"]) -> Float32[Array, " 2*dim"]:
return jnp.concatenate([x, x, x])
x = jr.normal(getkey(), (5,))
assert make_slice(x).shape == (4,)
assert cat(x).shape == (10,)
y = jr.normal(getkey(), (3, 4))
with pytest.raises(ParamError):
make_slice(y)
with pytest.raises(ParamError):
cat(y)
with pytest.raises(ReturnError):
bad_make_slice(x)
with pytest.raises(ReturnError):
bad_cat(x)
def test_incomplete_symbolic(typecheck, getkey):
@jaxtyped
@typecheck
def foo(x: Float32[Array, " 2*dim"]):
pass
x = jr.normal(getkey(), (4,))
with pytest.raises(NameError):
foo(x)