52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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import pytest
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from pytorch_layer_test_class import PytorchLayerTest
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class TestAddCMul(PytorchLayerTest):
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def _prepare_input(self):
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return (np.random.uniform(0, 50, 3).astype(self.input_type),
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np.random.uniform(0, 50, 3).astype(self.input_type),
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np.random.uniform(0, 50, 3).astype(self.input_type))
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def create_model(self, value=None):
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import torch
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class aten_addcmul(torch.nn.Module):
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def __init__(self, value=None):
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super(aten_addcmul, self).__init__()
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self.value = value
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def forward(self, x, y, z):
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if self.value is not None:
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return torch.addcmul(x, y, z, value=self.value)
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return torch.addcmul(x, y, z)
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ref_net = None
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return aten_addcmul(value), ref_net, "aten::addcmul"
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@pytest.mark.parametrize(("input_type", "value"), [
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[np.int32, None],
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[np.float32, None],
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[np.float64, None],
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[np.int32, 1],
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[np.int32, 2],
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[np.int32, 10],
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[np.int32, 110],
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[np.float32, 2.0],
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[np.float32, 3.123],
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[np.float32, 4.5],
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[np.float64, 41.5],
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[np.float64, 24.5],
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])
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_addcmul(self, input_type, value, ie_device, precision, ir_version):
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self.input_type = input_type
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self._test(*self.create_model(value), ie_device, precision, ir_version)
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