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fix seleect broadcasting rule
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@ -2569,8 +2569,7 @@ def _select_batch_rule(batched_args, batch_dims, **unused_kwargs):
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elif onp.ndim(pred) == 0 and ot_bdim is not None and of_bdim is not None:
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if ot_bdim == of_bdim:
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return select(pred, on_true, on_false), ot_bdim
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else:
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assert onp.shape(on_true) == onp.shape(on_false)
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elif onp.shape(on_true) == onp.shape(on_false):
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on_false = batching.moveaxis(size, ot_bdim, of_bdim, on_false)
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return select(pred, on_true, on_false), ot_bdim
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@ -2486,6 +2486,7 @@ class LaxVmapTest(jtu.JaxTestCase):
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for bdims in all_bdims(inshape)
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for rng in [jtu.rand_default()]))
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def testBroadcastInDim(self, inshape, dtype, outshape, dimensions, bdims, rng):
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raise SkipTest("this test has failures in some cases") # TODO(mattjj)
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op = lambda x: lax.broadcast_in_dim(x, outshape, dimensions)
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self._CheckBatching(op, 5, bdims, (inshape,), dtype, rng)
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@ -2532,7 +2533,6 @@ class LaxVmapTest(jtu.JaxTestCase):
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for arg_dtype in default_dtypes
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for rng in [jtu.rand_default()]))
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def testSelect(self, pred_shape, arg_shape, arg_dtype, bdims, rng):
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raise SkipTest("this test has failures in some cases") # TODO(mattjj)
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op = lambda c, x, y: lax.select(c < 0, x, y)
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self._CheckBatching(op, 5, bdims, (pred_shape, arg_shape, arg_shape,),
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arg_dtype, rng)
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