blob: 77875507d98cae2bafedea51a767770c02bf9ae6 [file]
# Copyright 2024 Arm Limited and/or its affiliates.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# pyre-unsafe
from typing import List
import serializer.tosa_serializer as ts
from executorch.backends.arm.operators.node_visitor import (
NodeVisitor,
register_node_visitor,
)
from executorch.backends.arm.tosa_mapping import TosaArg
from executorch.backends.arm.tosa_utils import build_reshape, tosa_shape
from serializer.tosa_serializer import TosaOp
from torch.fx import Node
@register_node_visitor
class SelectVisitor(NodeVisitor):
target = "aten.select_copy.int"
def __init__(self, *args):
super().__init__(*args)
def define_node(
self,
node: Node,
tosa_graph: ts.TosaSerializer,
inputs: List[TosaArg],
output: TosaArg,
is_quant_node: bool,
) -> None:
assert len(inputs) == 3
input_node, dim, index = inputs
shape = input_node.shape
rank = len(shape)
dim = dim.number % rank if dim.number < 0 else dim.number
index = index.number % rank if index.number < 0 else index.number
# For aten.select_copy, the output will be rank[input_shape - 1]
# For TOSA rank(in) == rank(out).
# Add an intermediate with the same rank
expanded_shape = tuple(1 if i == dim else shape[i] for i in range(rank))
expanded_shape = tosa_shape(expanded_shape, input_node.dim_order)
output_reshaped = tosa_graph.addIntermediate(
expanded_shape, ts.DType.INT8 if is_quant_node else output.dtype
)
attr_slice = ts.TosaSerializerAttribute()
start_attr = [index if i == dim else 0 for i in input_node.dim_order]
size_attr = [
1 if i == dim else input_node.shape[i] for i in input_node.dim_order
]
attr_slice.SliceAttribute(start_attr, size_attr)
tosa_graph.addOperator(
TosaOp.Op().SLICE, [input_node.name], [output_reshaped.name], attr_slice
)
# Reshape back to original rank of output.
build_reshape(tosa_graph, output_reshaped.name, output.shape, output.name)