def test_grad_primal_unused(self):
# The output of id_print is not needed for backwards pass
def func(x):
return 2. * hcb.id_print(
x * 3., what="x * 3", output_stream=testing_stream)
grad_func = api.grad(func)
with hcb.outfeed_receiver():
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let
in (6.00,) }""", str(api.make_jaxpr(grad_func)(5.)))
# Just making the Jaxpr invokes the id_print once
assertMultiLineStrippedEqual(
self, """
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 3
2.00""", testing_stream.output)
testing_stream.reset()
with hcb.outfeed_receiver():
res_grad = grad_func(jnp.float32(5.))
self.assertAllClose(6., res_grad, check_dtypes=False)
assertMultiLineStrippedEqual(
self, """
what: x * 3
15.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 3
2.00""", testing_stream.output)
testing_stream.reset()
def test_double_vmap(self):
# A 2D tensor with x[i, j] = i + j using 2 vmap
def sum(x, y):
return hcb.id_print(x + y, output_stream=testing_stream)
def sum_rows(xv, y):
return api.vmap(sum, in_axes=(0, None))(xv, y)
def sum_all(xv, yv):
return api.vmap(sum_rows, in_axes=(None, 0))(xv, yv)
xv = jnp.arange(5, dtype=np.int32)
yv = jnp.arange(3, dtype=np.int32)
assertMultiLineStrippedEqual(
self, """
{ lambda ; a b.
let c = broadcast_in_dim[ broadcast_dimensions=(1,)
shape=(3, 5) ] a
d = reshape[ dimensions=None
new_sizes=(3, 1) ] b
e = add c d
f = id_tap[ arg_treedef=*
func=_print
transforms=(('batch', (0,)), ('batch', (0,))) ] e
in (f,) }""", str(api.make_jaxpr(sum_all)(xv, yv)))
with hcb.outfeed_receiver():
_ = sum_all(xv, yv)
assertMultiLineStrippedEqual(
self, """
transforms: ({'name': 'batch', 'batch_dims': (0,)}, {'name': 'batch', 'batch_dims': (0,)})
[[0 1 2 3 4]
[1 2 3 4 5]
[2 3 4 5 6]]""", testing_stream.output)
testing_stream.reset()
def test_vmap_not_batched(self):
x = 3.
def func(y):
# x is not mapped, y is mapped
_, y = hcb.id_print((x, y), output_stream=testing_stream)
return x + y
vmap_func = api.vmap(func)
vargs = jnp.array([jnp.float32(4.), jnp.float32(5.)])
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let b c = id_tap[ arg_treedef=PyTreeDef(tuple, [*,*])
func=_print
transforms=(('batch', (None, 0)),) ] 3.00 a
d = add c 3.00
in (d,) }""", str(api.make_jaxpr(vmap_func)(vargs)))
with hcb.outfeed_receiver():
_ = vmap_func(vargs)
assertMultiLineStrippedEqual(
self, """
transforms: ({'name': 'batch', 'batch_dims': (None, 0)},)
[ 3.00
[4.00 5.00] ]""", testing_stream.output)
testing_stream.reset()
def test_grad_double(self):
def func(x):
y = hcb.id_print(x * 2., what="x * 2", output_stream=testing_stream)
return x * (y * 3.)
grad_func = api.grad(api.grad(func))
with hcb.outfeed_receiver():
_ = api.make_jaxpr(grad_func)(5.)
# Just making the Jaxpr invokes the id_print twiceonce
assertMultiLineStrippedEqual(self, """
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
3.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}, {'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
2.00""", testing_stream.output)
testing_stream.reset()
res_grad = grad_func(jnp.float32(5.))
self.assertAllClose(12., res_grad, check_dtypes=False)
assertMultiLineStrippedEqual(self, """
what: x * 2
10.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
15.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}, {'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
2.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
3.00""", testing_stream.output)
testing_stream.reset()
def test_vmap_while_tap_cond(self):
"""Vmap of while, with a tap in the conditional."""
def func(x):
# like max(x, 2)
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
x2 = lax.while_loop(
lambda x: hcb.id_print(
x < 2, where="w_c", output_stream=testing_stream),
lambda x: hcb.id_print(
x + 1, where="w_b", output_stream=testing_stream), x1)
res = hcb.id_print(x2, where="3", output_stream=testing_stream)
return res
inputs = np.arange(5, dtype=np.int32)
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertAllClose(np.array([2, 2, 2, 3, 4]),
api.jit(api.vmap(func))(inputs),
check_dtypes=False)
assertMultiLineStrippedEqual(
self, """
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: 1
[0 1 2 3 4]
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: w_c
[ True True False False False]
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: w_b
[1 2 3 4 5]
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: w_c
[ True False False False False]
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: w_b
[2 3 3 4 5]
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: w_c
[False False False False False]
transforms: ({'name': 'batch', 'batch_dims': (0,)},) where: 3
[2 2 2 3 4]""", testing_stream.output)
testing_stream.reset()
def test_vmap(self):
vmap_fun1 = api.vmap(fun1)
vargs = np.array([np.float32(4.), np.float32(5.)])
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let b = mul a 2.00
c = id_tap[ arg_treedef=*
batch_dims=(0,)
func=_print
transforms=('batch',)
what=a * 2 ] b
d = mul c 3.00
e f = id_tap[ arg_treedef=*
batch_dims=(0, 0)
func=_print
nr_untapped=1
transforms=('batch',)
what=y * 3 ] d c
g = pow f 2.00
in (g,) }""", str(api.make_jaxpr(vmap_fun1)(vargs)))
with hcb.outfeed_receiver():
res_vmap = vmap_fun1(vargs)
assertMultiLineStrippedEqual(
self, """
batch_dims: (0,) transforms: ('batch',) what: a * 2
[ 8.00 10.00]
batch_dims: (0, 0) transforms: ('batch',) what: y * 3
[24.00 30.00]""", testing_stream.output)
testing_stream.reset()
def test_grad_simple(self):
def func(x):
y = hcb.id_print(x * 2.,
what="x * 2",
output_stream=testing_stream)
return x * hcb.id_print(
y * 3., what="y * 3", output_stream=testing_stream)
grad_func = api.grad(func)
#assertMultiLineStrippedEqual(self, "", str(api.make_jaxpr(grad_func)(5.)))
with hcb.outfeed_receiver():
res_grad = grad_func(jnp.float32(5.))
self.assertAllClose(2. * 5. * 6., res_grad, check_dtypes=False)
assertMultiLineStrippedEqual(
self, """
what: x * 2
10.00
what: y * 3
30.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: y * 3
5.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
15.00""", testing_stream.output)
testing_stream.reset()
def test_jit_while_pred_tap(self):
"""While with printing in the conditional."""
def func(x):
x1 = hcb.id_print(x, where="1")
x10 = lax.while_loop(
lambda x: hcb.id_print(
x < 3, where="w_p", output_stream=testing_stream),
lambda x: hcb.id_print(
x + 1, where="w_b", output_stream=testing_stream), x1)
res = hcb.id_print(x10, where="3", output_stream=testing_stream)
return res
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertEqual(3, api.jit(func)(1))
assertMultiLineStrippedEqual(
self, """
where: w_p
True
where: w_b
2
where: w_p
True
where: w_b
3
where: w_p
False
where: 3
3""", testing_stream.output)
testing_stream.reset()
def test_jit_interleaving(self):
# Several jit's without data dependencies; they may interfere
count = 0 # Count tap invocations
nr_arrays = 5
def tap_func(arg, **kwargs):
nonlocal count
assert len(arg) == nr_arrays
count += 1
# This is the function that we'll run multiple times
def func(x, count):
for i in range(count):
x = hcb.id_tap(tap_func, [x + i for i in range(nr_arrays)],
i=i)[-1]
return x
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
x = jnp.array(1, dtype=np.int32)
res = 0
for i in range(10):
# No dependencies between the jit invocations
res += api.jit(lambda x: func(x, 10))(x)
logging.warning(
"%s: %s", self._testMethodName,
api.xla_computation(lambda x: func(x, 5))(1).as_hlo_text())
self.assertEqual(100, count)
def test_pytree(self, with_jit=False):
def func(x, what=""):
"""Returns some pytrees depending on x"""
if what == "pair_1_x":
return (1, x)
elif what == "pair_x_2x":
return (x, 2 * x)
elif what == "dict":
return dict(a=2 * x, b=3 * x)
else:
assert False
tap_count = 0
def tap_func(a, what=""):
nonlocal tap_count
tap_count += 1
self.assertEqual(func(5, what), a)
transform = api.jit if with_jit else lambda f: f
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
for what in ("pair_1_x", "pair_x_2x", "dict"):
self.assertEqual(
func(10, what),
transform(lambda x: hcb.id_tap(tap_func,
func(x, what),
result=func(x * 2, what),
what=what))(5))
# Wait for receivers to be done
self.assertEqual(3, tap_count)
def test_jit_while_pred_printing(self):
"""While with printing in the conditional."""
raise SkipTest("Not yet implemented")
#TODO: implement printing inside conditional
def func(x):
x1 = hcb.id_print(x, where="1")
def body(x):
x3 = hcb.id_print(x, where="w_1", output_stream=testing_stream)
return hcb.id_print(x3 + 1,
where="w_2",
output_stream=testing_stream)
x10 = lax.while_loop(
lambda x: hcb.id_print(
x < 10, where="w_p", output_stream=testing_stream), body,
x1)
res = hcb.id_print(x10, where="10", output_stream=testing_stream)
return res
logging.warning("%s: %s", self._testMethodName,
api.make_jaxpr(func)(1))
logging.warning("%s: %s", self._testMethodName,
api.xla_computation(func)(1).as_hlo_text())
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertEqual(10, api.jit(func)(1))
assertMultiLineStrippedEqual(self, """
""", testing_stream.output)
testing_stream.reset()
def test_scan_cond(self, with_jit=False):
def func(x):
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
def body(c, x):
x3 = hcb.id_print(x, where="s_1", output_stream=testing_stream)
x4 = lax.cond(
x % 2 == 0, x3 + 1, lambda x: hcb.id_print(
x, where="s_t", output_stream=testing_stream), x3 + 1,
lambda x: hcb.id_print(-1,
where="s_f",
result=x,
output_stream=testing_stream))
return (c,
hcb.id_print(x4,
where="s_2",
output_stream=testing_stream))
_, x10 = lax.scan(body, x2, jnp.arange(3))
res = hcb.id_print(x10, where="10", output_stream=testing_stream)
return res
logging.warning("%s: %s", self._testMethodName,
api.make_jaxpr(func)(1))
logging.warning("%s: %s", self._testMethodName,
api.xla_computation(func)(1).as_hlo_text())
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
if with_jit:
func = api.jit(func)
res = func(1)
self.assertAllClose(jnp.array([1, 2, 3]), res, check_dtypes=True)
assertMultiLineStrippedEqual(
self, """
where: 1
1
where: 2
2
where: s_1
0
where: s_t
1
where: s_2
1
where: s_1
1
where: s_f
-1
where: s_2
2
where: s_1
2
where: s_t
3
where: s_2
3
where: 10
[1 2 3]""", testing_stream.output)
testing_stream.reset()
def test_vmap(self):
vmap_fun1 = api.vmap(fun1)
vargs = jnp.array([jnp.float32(4.), jnp.float32(5.)])
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let b = mul a 2.00
c = id_tap[ arg_treedef=*
func=_print
transforms=(('batch', (0,)),)
what=a * 2 ] b
d = mul c 3.00
e f = id_tap[ arg_treedef=*
func=_print
nr_untapped=1
transforms=(('batch', (0, 0)),)
what=y * 3 ] d c
g = integer_pow[ y=2 ] f
in (g,) }""", str(api.make_jaxpr(vmap_fun1)(vargs)))
with hcb.outfeed_receiver():
_ = vmap_fun1(vargs)
assertMultiLineStrippedEqual(
self, """
transforms: ({'name': 'batch', 'batch_dims': (0,)},) what: a * 2
[ 8.00 10.00]
transforms: ({'name': 'batch', 'batch_dims': (0, 0)},) what: y * 3
[24.00 30.00]""", testing_stream.output)
testing_stream.reset()
def test_jit_nested(self):
def func(x):
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
def func_nested(x):
x2 = hcb.id_print(x + 1,
where="nested",
output_stream=testing_stream)
return x2
x3 = api.jit(func_nested)(x1)
return hcb.id_print(x3 + 1,
where="3",
output_stream=testing_stream)
logging.warning("%s: %s", self._testMethodName,
api.make_jaxpr(func)(1))
logging.warning("%s: %s", self._testMethodName,
api.xla_computation(func)(1).as_hlo_text())
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertEqual(3, api.jit(func)(1))
assertMultiLineStrippedEqual(
self, """
where: 1
1
where: nested
2
where: 3
3""", testing_stream.output)
testing_stream.reset()
def test_while(self):
y = jnp.ones(5) # captured const
def func(x):
return lax.while_loop(lambda c: c[1] < 5, lambda c:
(y, hcb.id_print(c[1]) + 1), (x, 1))
# TODO: we should not need to start a receiver here!!! I believe this is
# because of the partial evaluation of while, which calls impl, which
# uses JIT.
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertRewrite(
"""
{ lambda b ; a e.
let c d f = while[ body_jaxpr={ lambda ; c a b f.
let d g = id_tap[ arg_treedef=*
func=_print
] b f
e = add d 1
in (c, e, g) }
body_nconsts=1
cond_jaxpr={ lambda ; a b d.
let c = lt b 5
in (c,) }
cond_nconsts=0 ] b a 1 e
in (c, 5, f) }""", func, [y])
def test_while(self):
ct_body = jnp.ones(5, np.float32) # captured const for the body
ct_cond = jnp.ones(5, np.float32) # captured const for the conditional
def func(x):
return lax.while_loop(lambda c: c[1] < jnp.sum(c[0] + ct_cond),
lambda c: (ct_body, hcb.id_print(c[1]) + 1.),
(x, np.float32(1.)))
# TODO: we should not need to start a receiver here!!! I believe this is
# because of the partial evaluation of while, which calls impl, which
# uses JIT.
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertRewrite(
"""
{ lambda b c ; a f.
let d e g = while[ body_jaxpr={ lambda ; c a b f.
let d g = id_tap[ arg_treedef=*
func=_print
] b f
e = add d 1.00
in (c, e, g) }
body_nconsts=1
cond_jaxpr={ lambda ; c a b g.
let d = add a c
e = reduce_sum[ axes=(0,) ] d
f = lt b e
in (f,) }
cond_nconsts=1 ] b c a 1.00 f
in (d, e, g) }""", func, [ct_body])
def test_jit_devices(self):
"""Running on multiple devices."""
devices = api.local_devices()
logging.info(f"{self._testMethodName}: has devices {devices}")
def func(x, device_id):
x1 = hcb.id_print(x,
dev=str(device_id),
output_stream=testing_stream)
x2 = hcb.id_print(x1 + 1,
dev=str(device_id),
output_stream=testing_stream)
return x2
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
for d in devices:
self.assertEqual(
112,
api.jit(func, device=d, static_argnums=1)(111, d.id))
logging.info(
f"{self._testMethodName}: found output {testing_stream.output}")
self.assertEqual(len(devices),
len(re.findall(r"111", testing_stream.output)))
self.assertEqual(len(devices),
len(re.findall(r"112", testing_stream.output)))
testing_stream.reset()
def test_eval(self):
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let b = mul a 2.00
c = id_tap[ arg_treedef=*
func=_print
what=a * 2 ] b
d = mul c 3.00
e f = id_tap[ arg_treedef=*
func=_print
nr_untapped=1
what=y * 3 ] d c
g = integer_pow[ y=2 ] f
in (g,) }""", str(api.make_jaxpr(fun1)(5.)))
self.assertEqual("", testing_stream.output)
with hcb.outfeed_receiver():
self.assertAllClose((5. * 2.)**2, fun1(5.))
assertMultiLineStrippedEqual(
self, """
what: a * 2
10.00
what: y * 3
30.00""", testing_stream.output)
testing_stream.reset()
def test_jit_nested(self):
def func(x):
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
def func_nested(x):
x2 = hcb.id_print(x + 1,
where="nested",
output_stream=testing_stream)
return x2
x3 = api.jit(func_nested)(x1)
return hcb.id_print(x3 + 1,
where="3",
output_stream=testing_stream)
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertEqual(3, api.jit(func)(1))
assertMultiLineStrippedEqual(
self, """
where: 1
1
where: nested
2
where: 3
3""", testing_stream.output)
testing_stream.reset()
def test_cond(self, with_jit=False):
"""A conditional"""
def func(x):
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
x4 = lax.cond(
x % 2 == 0, lambda x: hcb.id_print(
x, where="cond_t", output_stream=testing_stream),
lambda x: hcb.id_print(
-1, where="cond_f", result=x, output_stream=testing_stream
), x2 + 1)
x5 = hcb.id_print(x4 + 1,
where="end",
output_stream=testing_stream)
return x5
transform = api.jit if with_jit else lambda f: f
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertEqual(4, transform(func)(1))
assertMultiLineStrippedEqual(
self, """
where: 1
1
where: 2
2
where: cond_f
-1
where: end
4""", testing_stream.output)
testing_stream.reset()
def test_jit_constant(self):
def func(x):
return hcb.id_print(42, result=x, output_stream=testing_stream)
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let b = xla_call[ backend=None
call_jaxpr={ lambda ; a.
let b c = id_tap[ arg_treedef=*
func=_print
nr_untapped=1
] 42 a
in (c,) }
device=None
donated_invars=(False,)
name=func ] a
in (b,) }""", str(api.make_jaxpr(api.jit(func))(5)))
self.assertEqual("", testing_stream.output)
with hcb.outfeed_receiver():
self.assertAllClose(5, api.jit(func)(5))
assertMultiLineStrippedEqual(self, """
42""", testing_stream.output)
testing_stream.reset()
def test_pmap(self):
vargs = 2. + jnp.arange(api.local_device_count(), dtype=jnp.float32)
pmap_fun1 = api.pmap(fun1, axis_name="i")
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
res = pmap_fun1(vargs)
expected_res = jnp.stack([fun1_equiv(2. + a) for a in range(api.local_device_count())])
self.assertAllClose(expected_res, res, check_dtypes=False)
def test_outfeed_receiver(self):
"""Test the deprecated outfeed_receiver"""
with hcb.outfeed_receiver():
self.assertAllClose((5. * 2.)**2, fun1(5.), check_dtypes=True)
assertMultiLineStrippedEqual(
self, """
what: a * 2
10.00
what: y * 3
30.00""", testing_stream.output)
testing_stream.reset()
def test_jit_constant(self):
def func(x):
return hcb.id_print(42, result=x, output_stream=testing_stream)
#assertMultiLineStrippedEqual(self, "", str(api.make_jaxpr(api.jit(func))(5)))
with hcb.outfeed_receiver():
self.assertAllClose(5, api.jit(func)(5))
assertMultiLineStrippedEqual(self, """
42""", testing_stream.output)
testing_stream.reset()
def test_with_dict_results(self):
def func2(x):
res = hcb.id_print(dict(a=x * 2., b=x * 3.), output_stream=testing_stream)
return res["a"] + res["b"]
with hcb.outfeed_receiver():
self.assertEqual(3. * (2. + 3.), func2(3.))
assertMultiLineStrippedEqual(self, """
{ a=6.00
b=9.00 }""", testing_stream.output)
testing_stream.reset()
def test_vmap(self):
vmap_fun1 = api.vmap(fun1)
vargs = jnp.array([jnp.float32(4.), jnp.float32(5.)])
#assertMultiLineStrippedEqual(self, "", str(api.make_jaxpr(vmap_fun1)(vargs)))
with hcb.outfeed_receiver():
_ = vmap_fun1(vargs)
assertMultiLineStrippedEqual(self, """
transforms: ({'name': 'batch', 'batch_dims': (0,)},) what: a * 2
[ 8.00 10.00]
transforms: ({'name': 'batch', 'batch_dims': (0, 0)},) what: y * 3
[24.00 30.00]""", testing_stream.output)
testing_stream.reset()
def test_while_cond(self, with_jit=False):
def func(x):
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
def body(x):
x3 = hcb.id_print(x,
where="w_b_1",
output_stream=testing_stream)
x4 = lax.cond(
x % 2 == 0, x3 + 1, lambda x: hcb.id_print(
x, where="w_b_t", output_stream=testing_stream),
x3 + 1,
lambda x: hcb.id_print(-1,
where="w_b_f",
result=x,
output_stream=testing_stream))
return hcb.id_print(x4,
where="w_b_2",
output_stream=testing_stream)
x10 = lax.while_loop(lambda x: x <= 3, body, x2)
res = hcb.id_print(x10, where="end", output_stream=testing_stream)
return res
logging.warning("%s: %s", self._testMethodName,
api.make_jaxpr(func)(1))
logging.warning("%s: %s", self._testMethodName,
api.xla_computation(func)(1).as_hlo_text())
transform = api.jit if with_jit else lambda f: f
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
self.assertEqual(4, transform(func)(1))
assertMultiLineStrippedEqual(
self, """
where: 1
1
where: 2
2
where: w_b_1
2
where: w_b_t
3
where: w_b_2
3
where: w_b_1
3
where: w_b_f
-1
where: w_b_2
4
where: end
4""", testing_stream.output)
testing_stream.reset()
def test_grad_simple(self):
def func(x):
y = hcb.id_print(x * 2.,
what="x * 2",
output_stream=testing_stream)
return x * hcb.id_print(
y * 3., what="y * 3", output_stream=testing_stream)
grad_func = api.grad(func)
assertMultiLineStrippedEqual(
self, """
{ lambda ; a.
let b = mul 1.00 a
c d = id_tap[ arg_treedef=*
func=_print
nr_untapped=1
transforms=(('jvp',), ('transpose',))
what=y * 3 ] b 0.00
e = mul c 3.00
f g = id_tap[ arg_treedef=*
func=_print
nr_untapped=1
transforms=(('jvp',), ('transpose',))
what=x * 2 ] e 0.00
h = mul f 2.00
i = mul a 2.00
j = id_tap[ arg_treedef=*
func=_print
nr_untapped=0
what=x * 2 ] i
k = mul j 3.00
l = id_tap[ arg_treedef=*
func=_print
nr_untapped=0
what=y * 3 ] k
m = mul 1.00 l
n = add_any h m
in (n,) }""", str(api.make_jaxpr(grad_func)(5.)))
with hcb.outfeed_receiver():
res_grad = grad_func(jnp.float32(5.))
self.assertAllClose(2. * 5. * 6., res_grad, check_dtypes=False)
assertMultiLineStrippedEqual(
self, """
what: x * 2
10.00
what: y * 3
30.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: y * 3
5.00
transforms: ({'name': 'jvp'}, {'name': 'transpose'}) what: x * 2
15.00""", testing_stream.output)
testing_stream.reset()
def test_jit_receiver_ends_prematurely(self):
# Simulate an unknown tap function
def func(x):
x1 = hcb.id_print(x + 1, what="x1", output_stream=testing_stream)
x2 = hcb.id_tap(hcb._end_consumer, result=x1 + 1) # Will end the consumer loop
x3 = hcb.id_print(x2 + 1, what="x3", output_stream=testing_stream)
return x3
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
_ = api.jit(func)(0)
assert False # It seems that the previous jit blocks above
def test_jit_simple(self):
jit_fun1 = api.jit(lambda x: 3. * hcb.id_print(
2. * x, what="here", output_stream=testing_stream))
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
res = jit_fun1(5.)
self.assertAllClose(6. * 5., res)
assertMultiLineStrippedEqual(self, """
what: here
10.00""", testing_stream.output)
testing_stream.reset()