Laurent Erignoux
144fb65246
git-subtree-dir: Stable3DGen git-subtree-mainline:846d6cfad8git-subtree-split:c29f668ece
79 lines
2.3 KiB
Python
Executable File
79 lines
2.3 KiB
Python
Executable File
# MIT License
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# Copyright (c) Microsoft
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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# Copyright (c) [2025] [Microsoft]
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# SPDX-License-Identifier: MIT
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import torch.nn as nn
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from ..modules import sparse as sp
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FP16_MODULES = (
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nn.Conv1d,
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nn.Conv2d,
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nn.Conv3d,
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nn.ConvTranspose1d,
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nn.ConvTranspose2d,
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nn.ConvTranspose3d,
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nn.Linear,
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sp.SparseConv3d,
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sp.SparseInverseConv3d,
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sp.SparseLinear,
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)
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def convert_module_to_f16(l):
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"""
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Convert primitive modules to float16.
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"""
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if isinstance(l, FP16_MODULES):
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for p in l.parameters():
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p.data = p.data.half()
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def convert_module_to_f32(l):
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"""
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Convert primitive modules to float32, undoing convert_module_to_f16().
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"""
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if isinstance(l, FP16_MODULES):
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for p in l.parameters():
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p.data = p.data.float()
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def zero_module(module):
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"""
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Zero out the parameters of a module and return it.
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"""
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for p in module.parameters():
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p.detach().zero_()
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return module
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def scale_module(module, scale):
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"""
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Scale the parameters of a module and return it.
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"""
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for p in module.parameters():
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p.detach().mul_(scale)
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return module
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def modulate(x, shift, scale):
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return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1)
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