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- # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
- #
- # 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 os
- import os.path as osp
- from ...base.register import register_model_info, register_suite_info
- from ..ts_base.model import TSModel
- from .runner import TSCLSRunner
- from .config import TSClassifyConfig
- REPO_ROOT_PATH = os.environ.get("PADDLE_PDX_PADDLETS_PATH")
- PDX_CONFIG_DIR = osp.abspath(osp.join(osp.dirname(__file__), "..", "configs"))
- register_suite_info(
- {
- "suite_name": "TSClassify",
- "model": TSModel,
- "runner": TSCLSRunner,
- "config": TSClassifyConfig,
- "runner_root_path": REPO_ROOT_PATH,
- }
- )
- ################ Models Using Universal Config ################
- # timesnet
- TimesNetCLS_CFG_PATH = osp.join(PDX_CONFIG_DIR, "TimesNet_cls.yaml")
- register_model_info(
- {
- "model_name": "TimesNet_cls",
- "suite": "TSClassify",
- "config_path": TimesNetCLS_CFG_PATH,
- "supported_apis": ["train", "evaluate", "predict", "export"],
- "supported_train_opts": {
- "device": ["cpu", "gpu_n1cx", "xpu", "npu", "mlu"],
- "dy2st": False,
- "amp": [],
- },
- "supported_evaluate_opts": {
- "device": ["cpu", "gpu_n1cx", "xpu", "npu", "mlu"],
- "amp": [],
- },
- "supported_predict_opts": {"device": ["cpu", "gpu", "xpu", "npu", "mlu"]},
- "supported_infer_opts": {"device": ["cpu", "gpu", "xpu", "npu", "mlu"]},
- }
- )
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