[go: nahoru, domu]

Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

add erf and erfc rules #3051

Merged
merged 1 commit into from
May 19, 2020
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
29 changes: 29 additions & 0 deletions jax/experimental/jet.py
Original file line number Diff line number Diff line change
Expand Up @@ -211,7 +211,36 @@ def linear_prop(prim, primals_in, series_in, **params):
deflinear(lax_fft.fft_p)
deflinear(xla.device_put_p)

def def_deriv(prim, deriv):
"""
Define the jet rule for a primitive in terms of its first derivative.
"""
jet_rules[prim] = partial(deriv_prop, prim, deriv)

def deriv_prop(prim, deriv, primals_in, series_in):
x, = primals_in
series, = series_in
primal_out = prim.bind(x)
c0, cs = jet(deriv, primals_in, series_in)
c = [c0] + cs
u = [x] + series
v = [primal_out] + [None] * len(series)
for k in range(1, len(v)):
v[k] = fact(k-1) * sum(_scale(k, j) * c[k-j] * u[j] for j in range(1, k + 1))
primal_out, *series_out = v
return primal_out, series_out


def_deriv(lax.erf_p, lambda x: lax.mul(lax._const(x, 2. / onp.sqrt(onp.pi)), lax.exp(lax.neg(lax.square(x)))))

def def_comp(prim, comp):
"""
Define the jet rule for a primitive in terms of a composition of simpler primitives.
"""
jet_rules[prim] = partial(jet, comp)


def_comp(lax.erfc_p, lambda x: 1 - lax.erf(x))

### More complicated rules

Expand Down
4 changes: 4 additions & 0 deletions tests/jet_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -225,6 +225,10 @@ def test_asinh(self): self.unary_check(lax.asinh, lims=[-100, 100])
def test_acosh(self): self.unary_check(lax.acosh, lims=[-100, 100])
@jtu.skip_on_devices("tpu")
def test_atanh(self): self.unary_check(lax.atanh, lims=[-1, 1])
@jtu.skip_on_devices("tpu")
def test_erf(self): self.unary_check(lax.erf)
@jtu.skip_on_devices("tpu")
def test_erfc(self): self.unary_check(lax.erfc)

@jtu.skip_on_devices("tpu")
def test_div(self): self.binary_check(lambda x, y: x / y, lims=[0.8, 4.0])
Expand Down