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Merge pull request #15953 from jakevdp:keyarray-dynamic-slice
PiperOrigin-RevId: 530936580
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commit
d6828c9c35
@ -482,7 +482,8 @@ class KeyTyRules:
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@staticmethod
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def dynamic_slice_mlir(ctx, aval_out, x, start_indices) -> ir.Value:
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dtype = dtypes.canonicalize_dtype(np.dtype('int64'))
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index_avals = ctx.avals_in[1:]
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dtype = dtypes.canonicalize_dtype(index_avals[0].dtype if index_avals else 'int64')
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key_shape = aval_out.dtype.impl.key_shape
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trailing_zeros = [mlir.ir_constant(np.array(0, dtype))] * len(key_shape)
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start_indices = (*start_indices, *trailing_zeros)
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@ -492,7 +493,8 @@ class KeyTyRules:
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@staticmethod
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def dynamic_update_slice_mlir(ctx, aval_out, x, update, *start_indices) -> ir.Value:
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dtype = dtypes.canonicalize_dtype(np.dtype('int64'))
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index_avals = ctx.avals_in[2:]
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dtype = dtypes.canonicalize_dtype(index_avals[0].dtype if index_avals else 'int64')
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key_shape = aval_out.dtype.impl.key_shape
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zeros = [mlir.ir_constant(np.array(0, dtype=dtype))] * len(key_shape)
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start_indices = (*start_indices, *zeros)
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@ -1801,10 +1801,19 @@ class KeyArrayTest(jtu.JaxTestCase):
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def test_dynamic_slice(self):
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ks = self.make_keys(3, 4)
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ys = jax.jit(lambda x, i: lax.dynamic_slice_in_dim(x, i, 2))(ks, 1)
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index = np.int16(1) # non-default int type to catch type errors.
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ys = jax.jit(partial(lax.dynamic_slice_in_dim, slice_size=2))(ks, index)
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self.assertIsInstance(ys, random.KeyArray)
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self.assertEqual(ys.shape, (2, 4))
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def test_dynamic_update_slice(self):
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ks = self.make_keys(3, 4)
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k = self.make_keys(1, 4)
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index = np.int16(1) # non-default int type to catch type errors.
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ys = jax.jit(partial(lax.dynamic_update_slice_in_dim, axis=0))(ks, k, index)
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self.assertIsInstance(ys, random.KeyArray)
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self.assertEqual(ys.shape, (3, 4))
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def test_transpose(self):
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ks = self.make_keys(3, 4)
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ys = jax.jit(lambda x: x.T)(ks)
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