def inner_map_result_shape(self, elt_result, arg_shapes, axes):
max_rank = self.max_rank(arg_shapes)
for i, arg_shape in enumerate(arg_shapes):
r = self.rank(arg_shape)
if r == max_rank:
axis = axes[i]
if axis is None:
combined_dims = dims(arg_shape) + dims(elt_result)
if len(combined_dims) > 0:
return Shape(combined_dims)
else:
return any_scalar
else:
return increase_rank(elt_result, 0, arg_shape.dims[axis])
return elt_result
def inner_map_result_shape(self, elt_result, arg_shapes, axes):
max_rank = self.max_rank(arg_shapes)
for i, arg_shape in enumerate(arg_shapes):
r = self.rank(arg_shape)
if r == max_rank:
axis = axes[i]
if axis is None:
combined_dims = dims(arg_shape) + dims(elt_result)
if len(combined_dims) > 0:
return Shape(combined_dims)
else:
return any_scalar
else:
return increase_rank(elt_result, 0, arg_shape.dims[axis])
return elt_result
def visit_Map(self, expr):
arg_shapes = self.visit_expr_list(expr.args)
fn = self.visit_expr(expr.fn)
axis = unwrap_constant(expr.axis)
assert axis is not None, "Unexpected axis=None in Map %s" % expr
elt_shapes = [self.slice_along_axis(arg, axis) for arg in arg_shapes]
elt_result = symbolic_call(fn, elt_shapes)
outer_dim = None
max_rank = 0
for arg_shape in arg_shapes:
if isinstance(arg_shape, Shape) and len(arg_shape.dims) > max_rank:
max_rank = len(arg_shape.dims)
outer_dim = arg_shape.dims[axis]
if outer_dim is not None:
return shape.increase_rank(elt_result, axis, outer_dim)
else:
return elt_result
def visit_Array(self, expr): elts = self.visit_expr_list(expr.elts) elt = combine_list(elts) n = len(elts) res = increase_rank(elt, 0, const(n)) return res
def visit_Array(self, expr):
elts = self.visit_expr_list(expr.elts)
elt = combine_list(elts)
n = len(elts)
res = increase_rank(elt, 0, const(n))
return res
