mirror of
https://github.com/NVIDIA/Model-Optimizer.git
synced 2026-11-12 02:00:41 +08:00
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# 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.
|
|
|
|
"""Test quantized RNN modules for cuda."""
|
|
|
|
import copy
|
|
|
|
import pytest
|
|
import torch
|
|
import torch.nn as nn
|
|
|
|
from modelopt.torch.quantization import set_quantizer_attribute
|
|
from modelopt.torch.quantization.nn import QuantModuleRegistry
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("original_cls", "bidirectional", "bias"),
|
|
[
|
|
(nn.LSTM, True, True),
|
|
(nn.LSTM, False, False),
|
|
],
|
|
)
|
|
def test_no_quant_proj(original_cls, bidirectional, bias):
|
|
rnn_object = original_cls(
|
|
8,
|
|
8,
|
|
2,
|
|
bidirectional=bidirectional,
|
|
bias=bias,
|
|
proj_size=4,
|
|
).cuda()
|
|
rnn_object_original = copy.deepcopy(rnn_object)
|
|
quant_rnn_object = QuantModuleRegistry.convert(rnn_object)
|
|
|
|
set_quantizer_attribute(quant_rnn_object, lambda name: True, {"enable": False})
|
|
|
|
test_input = torch.randn((3, 2, 8), device="cuda")
|
|
|
|
out1 = quant_rnn_object(test_input)[0]
|
|
out2 = rnn_object_original(test_input)[0]
|
|
assert torch.allclose(out1, out2, atol=1e-5)
|