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| # MIT License | |
| # Copyright (c) Microsoft | |
| # Permission is hereby granted, free of charge, to any person obtaining a copy | |
| # of this software and associated documentation files (the "Software"), to deal | |
| # in the Software without restriction, including without limitation the rights | |
| # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| # copies of the Software, and to permit persons to whom the Software is | |
| # furnished to do so, subject to the following conditions: | |
| # The above copyright notice and this permission notice shall be included in all | |
| # copies or substantial portions of the Software. | |
| # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| # SOFTWARE. | |
| # Copyright (c) [2025] [Microsoft] | |
| # SPDX-License-Identifier: MIT | |
| import torch.nn as nn | |
| from ..modules import sparse as sp | |
| FP16_MODULES = ( | |
| nn.Conv1d, | |
| nn.Conv2d, | |
| nn.Conv3d, | |
| nn.ConvTranspose1d, | |
| nn.ConvTranspose2d, | |
| nn.ConvTranspose3d, | |
| nn.Linear, | |
| sp.SparseConv3d, | |
| sp.SparseInverseConv3d, | |
| sp.SparseLinear, | |
| ) | |
| def convert_module_to_f16(l): | |
| """ | |
| Convert primitive modules to float16. | |
| """ | |
| if isinstance(l, FP16_MODULES): | |
| for p in l.parameters(): | |
| p.data = p.data.half() | |
| def convert_module_to_f32(l): | |
| """ | |
| Convert primitive modules to float32, undoing convert_module_to_f16(). | |
| """ | |
| if isinstance(l, FP16_MODULES): | |
| for p in l.parameters(): | |
| p.data = p.data.float() | |
| def zero_module(module): | |
| """ | |
| Zero out the parameters of a module and return it. | |
| """ | |
| for p in module.parameters(): | |
| p.detach().zero_() | |
| return module | |
| def scale_module(module, scale): | |
| """ | |
| Scale the parameters of a module and return it. | |
| """ | |
| for p in module.parameters(): | |
| p.detach().mul_(scale) | |
| return module | |
| def modulate(x, shift, scale): | |
| return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1) | |