def _select_and_scatter_add_translation(ctx, avals_in, avals_out, source,
operand, *, select_prim,
window_dimensions, window_strides,
padding, expand_padding):
source_aval, operand_aval = avals_in
c = ctx.builder
dtype = operand_aval.dtype
scalar = ShapedArray((), dtype)
select = xla.primitive_subcomputation(ctx.platform, ctx.axis_env,
select_prim, scalar, scalar)
scatter = xla.primitive_subcomputation(
ctx.platform, ctx.axis_env,
lax.or_p if dtype == np.bool_ else lax.add_p, scalar, scalar)
zero = xla.pyval_to_ir_constant(c, np.array(0, dtype))
# TODO(b/161704903): remove this workaround when XLA:CPU bug is fixed.
expand_padding = (expand_padding
and not all(lo == 0 and hi == 0 for (lo, hi) in padding))
if expand_padding:
original_padding = padding
identity = (lax._get_max_identity
if select_prim is lax.ge_p else lax._get_min_identity)
pads = [(lo, hi, 0) for (lo, hi) in padding]
operand = xops.Pad(operand,
xla.pyval_to_ir_constant(c, identity(dtype)),
xc.make_padding_config(pads))
padding = [(0, 0) for _ in padding]
output = xops.SelectAndScatterWithGeneralPadding(operand, select,
window_dimensions,
window_strides, padding,
source, zero, scatter)
if expand_padding:
start_indices = [lo for (lo, hi) in original_padding]
stop_indices = [
lo + d
for ((lo, hi), d) in zip(original_padding, operand_aval.shape)
]
output = xops.Slice(output, start_indices, stop_indices,
[1] * len(start_indices))
return [output]
def _reduce_window_sum_translation_rule(ctx, avals_in, avals_out, operand, *,
window_dimensions, window_strides,
padding, base_dilation,
window_dilation):
operand_aval, = avals_in
scalar = ShapedArray((), operand_aval.dtype)
return [
xops.ReduceWindowWithGeneralPadding(
operand,
xla.pyval_to_ir_constant(ctx.builder,
np.array(0, operand_aval.dtype)),
xla.primitive_subcomputation(ctx.platform, ctx.axis_env, lax.add_p,
scalar, scalar), window_dimensions,
window_strides, base_dilation, window_dilation, padding)
]
def sparse_array_constant_handler(c, val, canonicalize_dtypes):
return (
xla.pyval_to_ir_constant(val.data, canonicalize_dtypes),
xla.pyval_to_ir_constant(val.indices, canonicalize_dtypes)
)
