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https://github.com/NVIDIA/Model-Optimizer.git
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35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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import torch
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def quant(x, amax, num_bits=8, fake=False, narrow_range=True):
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"""Quantize x using torch."""
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intmax = 2.0 ** (num_bits - 1) - 1.0
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intmin = -intmax if narrow_range else -intmax - 1
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scale = intmax / amax
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# x_q = torch.round(torch.clamp(x * scale, intmin, intmax))
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x_q = torch.clamp((x * scale).round_(), intmin, intmax)
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if fake:
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x_q /= scale
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return x_q
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def get_model_size(model):
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return sum([p.element_size() * p.nelement() for p in model.parameters()])
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