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[Op info test] Implemented the following ops: log_softmax, softmax, s… #7922

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Merged
merged 1 commit into from
Aug 29, 2024
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[Op info test] Implemented the following ops: log_softmax, softmax, s… #7922

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3 changes: 0 additions & 3 deletions experimental/torch_xla2/test/test_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,7 +119,6 @@
"linalg.vector_norm",
"linspace",
"log_normal",
"log_softmax",
"logaddexp2",
"logaddexp",
"logcumsumexp",
Expand Down Expand Up @@ -252,8 +251,6 @@
"scatter",
"scatter_reduce",
"searchsorted",
"softmax",
"sort",
"special.airy_ai",
"special.modified_bessel_i1",
"special.modified_bessel_k0",
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6 changes: 6 additions & 0 deletions experimental/torch_xla2/torch_xla2/ops/jaten.py
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Expand Up @@ -220,6 +220,8 @@ def _aten_stack(tensors, dim=0):

@op(torch.ops.aten._softmax)
def _aten_softmax(x, dim, halftofloat):
if x.shape == ():
return jnp.astype(1.0, x.dtype)
return jax.nn.softmax(x, dim)


Expand Down Expand Up @@ -1947,6 +1949,8 @@ def _aten_logical_not(self):
# aten.log_softmax
@op(torch.ops.aten._log_softmax)
def _aten_log_softmax(self, axis=-1, half_to_float=False):
if self.shape == ():
return jnp.astype(0.0, self.dtype)
return jax.nn.log_softmax(self, axis)


Expand Down Expand Up @@ -2024,6 +2028,8 @@ def _aten_slice_scatter(input, src, dim=0, start=None, end=None, step=1):
# torch.sort(input, dim=-1, descending=False, stable=False, *, out=None)
@op(torch.ops.aten.sort)
def _aten_sort(a, dim=-1, descending=False, stable=False):
if a.shape == ():
return (a, jnp.astype(0, 'int64'))
return (
jnp.sort(a, axis=dim, stable=stable, descending=descending),
jnp.argsort(a, axis=dim, stable=stable, descending=descending),
Expand Down