[autochunk] support vit (#3084)

support vit for autochunk
* support some new ops for vit
* fix some bugs
* add test for vit
This commit is contained in:
Xuanlei Zhao
2023-03-10 10:23:26 +08:00
committed by GitHub
parent e58a3c804c
commit 10c61de2f7
8 changed files with 445 additions and 57 deletions

View File

@@ -74,6 +74,9 @@ class TraceIndice(object):
"""
add a dim for indice, compute and source
"""
# need to remap if dim_idx < 0, e.g. -1
if dim_idx < 0:
dim_idx = list(range(len(self.indice_trace_list[node_idx]["indice"]) + 1))[dim_idx]
self.indice_trace_list[node_idx]["indice"].insert(dim_idx, self._add_indice())
self.indice_trace_list[node_idx]["compute"].insert(dim_idx, [])
self.indice_trace_list[node_idx]["source"].insert(dim_idx, {})
@@ -575,6 +578,60 @@ class TraceIndice(object):
cat_dim = node.kwargs["dim"]
self._del_dim(node_idx, cat_dim)
def _assign_flatten_indice(self, node: Node, node_idx: int) -> None:
"""
Assign indice for flatten op.
Args:
node (node)
node_idx (int)
"""
nodes_in = node.args[0]
nodes_in_shape = get_node_shape(nodes_in)
flatten_start_dim = node.args[1]
flatten_dim_num = len(nodes_in_shape) - flatten_start_dim - 1
assert flatten_dim_num > 0
for _ in range(flatten_dim_num):
self._add_dim(node_idx, 0)
self._assign_indice_as_input(node, node_idx, nodes_in)
for _ in range(flatten_dim_num + 1):
self._del_dim(node_idx, -1)
self._add_dim(node_idx, -1)
def _assign_expand_indice(self, node: Node, node_idx: int) -> None:
"""
Assign indice for expand op.
Args:
node (node)
node_idx (int)
"""
expand_shape = node.args[1:]
node_in_shape = get_node_shape(node.args[0])
assert len(expand_shape) == len(node_in_shape)
self._assign_indice_as_input(node, node_idx)
for i in range(len(node_in_shape)):
if expand_shape[i] == node_in_shape[i] or expand_shape[i] == -1:
continue
elif expand_shape[i] > node_in_shape[i]:
self._del_dim(node_idx, i)
self._add_dim(node_idx, i)
else:
raise RuntimeError()
def _assign_unbind_indice(self, node: Node, node_idx: int) -> None:
"""
Assign indice for unbind op.
Args:
node (node)
node_idx (int)
"""
unbind_dim = node.args[1]
self._add_dim(node_idx, unbind_dim)
self._assign_indice_as_input(node, node_idx)
self._del_dim(node_idx, unbind_dim)
def _assign_embedding_indice(self, node: Node, node_idx: int) -> None:
"""
Assign indice for embedding op.
@@ -695,32 +752,39 @@ class TraceIndice(object):
shape_idx = target_shape.index(-1)
target_shape[shape_idx] = origin_product // target_product
# determine changed dim
len_diff = len(origin_shape) - len(target_shape)
if len_diff == 1:
# find same dim
dim_to_same_dim = []
dim_from_same_dim = []
for i in range(len(origin_shape)):
if origin_shape[i] == target_shape[i]:
dim_to_same_dim.append(i)
dim_from_same_dim.append(i)
else:
break
for i in range(-1, -len(origin_shape), -1):
if origin_shape[i] == target_shape[i]:
dim_to_same_dim.append(len(target_shape) + i)
dim_from_same_dim.append(len(origin_shape) + i)
else:
break
dim_from = list(set(range(len(origin_shape))) - set(dim_from_same_dim))
dim_to = list(set(range(len(target_shape))) - set(dim_to_same_dim))
assert len(dim_from) == 1 or len(dim_to) == 1 or len(dim_from) == len(dim_to)
dim_diff = len(dim_from) - len(dim_to)
if dim_diff > 0:
# dim merge
dim_equal = [i == j for i, j in zip(origin_shape[:-1], target_shape)]
dim_to = [dim_equal.index(False)]
dim_from = [dim_equal.index(False), dim_equal.index(False) + 1]
self._add_dim(node_idx, -1)
elif len_diff == -1:
for i in range(dim_diff):
self._add_dim(node_idx, -1)
elif dim_diff < 0:
# dim expand
dim_equal = [i == j for i, j in zip(origin_shape, target_shape[:-1])]
dim_from = [dim_equal.index(False)]
dim_to = [dim_equal.index(False), dim_equal.index(False) + 1]
self._del_dim(node_idx, -1)
elif len_diff == 0:
# dim equal
dim_equal = [i == j for i, j in zip(origin_shape, target_shape[:-1])]
dim_from = []
dim_to = []
else:
raise NotImplementedError("shape" + str(origin_shape) + "and" + str(target_shape) + "view not implemented")
for i in range(-dim_diff):
self._del_dim(node_idx, -1)
# get new indice
origin_trace = self._find_indice_trace_from_node(origin_node)
self._assign_indice_as_input(node, node_idx, origin_node)
idx_from = [origin_trace[i] for i in dim_from]
dim_from.reverse()
for i in dim_from:
self._del_dim(node_idx, i)
@@ -728,36 +792,18 @@ class TraceIndice(object):
self._add_dim(node_idx, i)
dim_from.reverse()
# search view list
# for view_node, view_dict in self.indice_view_list.items():
# if (view_dict["idx_to"] == idx_from and view_dict["dim_to"] == dim_from
# and view_dict["dim_from"] == dim_to):
# # inheirt indice from current node
# if len_diff == 1:
# if origin_shape[dim_from[0]] == 1:
# self._inherit_indice(origin_node, dim_from[1], node, dim_to[0], init=False)
# elif origin_shape[dim_from[1]] == 1:
# self._inherit_indice(origin_node, dim_from[0], node, dim_to[0], init=False)
# elif len_diff == -1:
# if target_shape[dim_to[0]] == 1:
# self._inherit_indice(origin_node, dim_from[0], node, dim_to[1], init=False)
# elif target_shape[dim_to[1]] == 1:
# self._inherit_indice(origin_node, dim_from[0], node, dim_to[0], init=False)
# # inherid indice from input node of last view
# for dim_to_i in dim_to:
# self._inherit_indice(view_node.args[0], dim_to_i, node, dim_to_i, init=False)
# inheirt indice from current node
if len_diff == 1:
if origin_shape[dim_from[0]] == 1:
self._inherit_indice(origin_node, dim_from[1], node, dim_to[0], init=False)
elif origin_shape[dim_from[1]] == 1:
self._inherit_indice(origin_node, dim_from[0], node, dim_to[0], init=False)
elif len_diff == -1:
if target_shape[dim_to[0]] == 1:
self._inherit_indice(origin_node, dim_from[0], node, dim_to[1], init=False)
elif target_shape[dim_to[1]] == 1:
self._inherit_indice(origin_node, dim_from[0], node, dim_to[0], init=False)
if len(dim_from) != 0 and len(dim_to) != 0:
if dim_diff == 1:
if origin_shape[dim_from[0]] == 1:
self._inherit_indice(origin_node, dim_from[1], node, dim_to[0], init=False)
elif origin_shape[dim_from[1]] == 1:
self._inherit_indice(origin_node, dim_from[0], node, dim_to[0], init=False)
elif dim_diff == -1:
if target_shape[dim_to[0]] == 1:
self._inherit_indice(origin_node, dim_from[0], node, dim_to[1], init=False)
elif target_shape[dim_to[1]] == 1:
self._inherit_indice(origin_node, dim_from[0], node, dim_to[0], init=False)
# log view, not used now
view_dict = {
@@ -809,6 +855,14 @@ class TraceIndice(object):
self._assgin_no_change_indice(node, idx)
elif "new_ones" == node_name:
self._assign_all_indice(node, idx)
elif "flatten" == node_name:
self._assign_flatten_indice(node, idx)
elif "expand" == node_name:
self._assign_expand_indice(node, idx)
elif "unbind" == node_name:
self._assign_unbind_indice(node, idx)
elif "softmax" == node_name:
self._assign_softmax_indice(node, idx)
elif any(i == node_name for i in ["size"]):
continue
else:
@@ -859,7 +913,9 @@ class TraceIndice(object):
self._assign_linear_indice(node, idx)
elif "conv2d" == node_name:
self._assign_conv2d_indice(node, idx)
elif any(n == node_name for n in ["sigmoid", "dropout", "relu", "silu"]):
elif "identity" == node_name:
self._assgin_no_change_indice(node, idx)
elif any(n == node_name for n in ["sigmoid", "dropout", "relu", "silu", "gelu"]):
self._assign_elementwise_indice(node, idx)
else:
raise NotImplementedError(node_name, "module not implemented yet!")