69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import copy
|
|
import importlib
|
|
|
|
from paddle.jit import to_static
|
|
from paddle.static import InputSpec
|
|
|
|
from .base_model import BaseModel
|
|
from .distillation_model import DistillationModel
|
|
|
|
__all__ = ["build_model", "apply_to_static"]
|
|
|
|
|
|
def build_model(config):
|
|
config = copy.deepcopy(config)
|
|
if not "name" in config:
|
|
arch = BaseModel(config)
|
|
else:
|
|
name = config.pop("name")
|
|
mod = importlib.import_module(__name__)
|
|
arch = getattr(mod, name)(config)
|
|
return arch
|
|
|
|
|
|
def apply_to_static(model, config, logger):
|
|
if config["Global"].get("to_static", False) is not True:
|
|
return model
|
|
assert "image_shape" in config[
|
|
"Global"], "image_shape must be assigned for static training mode..."
|
|
supported_list = ["DB", "SVTR"]
|
|
if config["Architecture"]["algorithm"] in ["Distillation"]:
|
|
algo = list(config["Architecture"]["Models"].values())[0]["algorithm"]
|
|
else:
|
|
algo = config["Architecture"]["algorithm"]
|
|
assert algo in supported_list, f"algorithms that supports static training must in in {supported_list} but got {algo}"
|
|
|
|
specs = [
|
|
InputSpec(
|
|
[None] + config["Global"]["image_shape"], dtype='float32')
|
|
]
|
|
|
|
if algo == "SVTR":
|
|
specs.append([
|
|
InputSpec(
|
|
[None, config["Global"]["max_text_length"]],
|
|
dtype='int64'), InputSpec(
|
|
[None, config["Global"]["max_text_length"]], dtype='int64'),
|
|
InputSpec(
|
|
[None], dtype='int64'), InputSpec(
|
|
[None], dtype='float64')
|
|
])
|
|
|
|
model = to_static(model, input_spec=specs)
|
|
logger.info("Successfully to apply @to_static with specs: {}".format(specs))
|
|
return model
|