8d0381b0fe
* [PT FE] Implement custom op for types alignment * Fix code style * Fix inplace ops * Fix layer tests * Remove no longer needed change * Fix ovc tests * Fix fe tests
57 lines
1.8 KiB
Python
57 lines
1.8 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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import torch
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from pytorch_layer_test_class import PytorchLayerTest
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class TestBF16(PytorchLayerTest):
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def _prepare_input(self):
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return (np.random.randn(10).astype(np.float32),)
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def create_model(self):
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class aten_add(torch.nn.Module):
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def __init__(self):
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super(aten_add, self).__init__()
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self.y = torch.randn(10, dtype=torch.bfloat16)
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def forward(self, x):
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return x + self.y.to(torch.float32)
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return aten_add(), None, "aten::add"
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@pytest.mark.nightly
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@pytest.mark.precommit
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@pytest.mark.parametrize("to_trace", [True, False])
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def test_bf16(self, ie_device, precision, ir_version, to_trace):
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self._test(*self.create_model(), ie_device, precision,
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ir_version, trace_model=to_trace, freeze_model=False, use_convert_model=True)
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class TestFP16(PytorchLayerTest):
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def _prepare_input(self):
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return (np.random.randn(10).astype(np.float32),)
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def create_model(self):
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class aten_add(torch.nn.Module):
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def __init__(self):
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super(aten_add, self).__init__()
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self.y = torch.randn(10, dtype=torch.float16)
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def forward(self, x):
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return x + self.y.to(torch.float32)
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return aten_add(), None, "aten::add"
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@pytest.mark.nightly
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@pytest.mark.precommit
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@pytest.mark.parametrize("to_trace", [True, False])
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def test_fp16(self, ie_device, precision, ir_version, to_trace):
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self._test(*self.create_model(), ie_device, precision,
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ir_version, trace_model=to_trace, freeze_model=False, use_convert_model=True)
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