43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
# Copyright 2024 MIT Han Lab
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# SPDX-License-Identifier: Apache-2.0
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def val2list(x: list or tuple or any, repeat_time=1) -> list: # type: ignore
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"""Repeat `val` for `repeat_time` times and return the list or val if list/tuple."""
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if isinstance(x, (list, tuple)):
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return list(x)
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return [x for _ in range(repeat_time)]
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def val2tuple(x: list or tuple or any, min_len: int = 1, idx_repeat: int = -1) -> tuple: # type: ignore
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"""Return tuple with min_len by repeating element at idx_repeat."""
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# convert to list first
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x = val2list(x)
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# repeat elements if necessary
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if len(x) > 0:
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x[idx_repeat:idx_repeat] = [x[idx_repeat] for _ in range(min_len - len(x))]
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return tuple(x)
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def get_same_padding(kernel_size: int or tuple[int, ...]) -> int or tuple[int, ...]:
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if isinstance(kernel_size, tuple):
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return tuple([get_same_padding(ks) for ks in kernel_size])
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else:
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assert kernel_size % 2 > 0, f"kernel size {kernel_size} should be odd number"
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return kernel_size // 2
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