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feat: add xlogy op #219

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feat: add xlogy op #219

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cbf41c6
feat: add xlogy op
s22chan Oct 3, 2024
ca9ee01
add tests
s22chan Oct 4, 2024
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2 changes: 2 additions & 0 deletions tf2jax/_src/ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@
from jax.experimental import checkify
from jax.lib import xla_client
import jax.numpy as jnp
import jax.scipy as jsp
import numpy as np
import tensorflow as tf
from tf2jax._src import config
Expand Down Expand Up @@ -201,6 +202,7 @@ def wrapped(proto):
functools.partial(jax.ops.segment_sum, indices_are_sorted=False),
{"T", "Tindices", "Tnumsegments"}),
"Where": _get_jax_op(jnp.argwhere, {"T"}),
"Xlogy": _get_jax_op(jsp.special.xlogy, {"T"}),
"ZerosLike": _get_jax_op(jnp.zeros_like, {"T"}),
# The assignment logic is handled in _OpNode and convert().
"AssignAddVariableOp": _get_jax_op(jnp.add, {"dtype"}),
Expand Down
9 changes: 9 additions & 0 deletions tf2jax/_src/ops_test.py
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Expand Up @@ -2146,6 +2146,15 @@ def where(cond):
return tf.raw_ops.Where(condition=cond)
self._test_convert(where, inputs)

@chex.variants(with_jit=True, without_jit=True)
def test_xlogy(self):
x = np.array([0.0, 0.0, 5.0, 5.0])
y = np.array([0.0, 5.0, 0.0, 5.0])

def xlogy(x, y):
return tf.raw_ops.Xlogy(x=x, y=y)
self._test_convert(xlogy, [x, y])

@chex.variants(with_jit=True, without_jit=True)
def test_while_loop(self):
inputs = np.array(np.reshape(range(24), (4, 3, 2)), dtype=np.float32)
Expand Down
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