b67cff7cd5
* add m1 mac pipelines as a matrix parameter * Update mac.yml disable java_api because of macos arm64 - Java is not available on macOS arm64 runners * Update mac.yml added always condition for all tests * Update mac.yml * Update mac.yml * Update mac.yml * Update setup.py temp commit * Update tools/openvino_dev/setup.py * use matrix for var * add mxnet to extras only for x86_64 * skip failing tests * use xfail for Python tests; add missing filter for transformations tests * skip CPU func tests on x86_64 mac; skip some tests from CPU func tests on arm mac * Update mac.yml * skip tests on mac arm * skip tests on darwin; apply review * add more skips for python and c++ tests * skip tf tests * skip more tf tests; skip more Python UT stages * rm alwayses, rm triggers, add nightly trigger --------- Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
82 lines
2.4 KiB
Python
82 lines
2.4 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import platform
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import pytest
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from pytorch_layer_test_class import PytorchLayerTest
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class TestArgMinArgMax(PytorchLayerTest):
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def _prepare_input(self, dtype="float32"):
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import numpy as np
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a = np.random.randn(1, 3, 10, 10).astype(dtype)
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return (a.repeat(2).reshape(1, 3, 20, 10),)
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def create_model(self, op_type, axes, keep_dims):
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import torch
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op_types = {
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'max': torch.argmax,
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'min': torch.argmin
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}
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op = op_types[op_type]
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class aten_argmin_argmax(torch.nn.Module):
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def __init__(self, op):
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super(aten_argmin_argmax, self).__init__()
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self.op = op
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def forward(self, x):
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return self.op(x)
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class aten_argmin_argmax_3arg(torch.nn.Module):
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def __init__(self, op, axes, keep_dims):
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super().__init__()
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self.op = op
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self.axes = axes
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self.keep_dims = keep_dims
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def forward(self, x):
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return self.op(x, self.axes, self.keep_dims)
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ref_net = None
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if axes is None and keep_dims is None:
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model_cls = aten_argmin_argmax(op)
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else:
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model_cls = aten_argmin_argmax_3arg(op, axes, keep_dims)
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return model_cls, ref_net, f"aten::arg{op_type}"
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@pytest.mark.parametrize("axes,keep_dims", [
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(None, None),
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(None, False),
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(None, True),
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(0, False),
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(0, True),
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(1, False),
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(1, True),
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(2, False),
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(2, True),
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(3, False),
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(3, True),
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(-3, False),
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(-3, True),
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(-2, False),
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(-2, True),
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(-1, False),
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(-1, True)])
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@pytest.mark.parametrize("op_type", ['max', 'min'])
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@pytest.mark.parametrize("dtype", ["float32", "int32", "int64"])
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@pytest.mark.nightly
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@pytest.mark.precommit
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@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
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reason='Ticket - 122715')
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def test_argmin_argmax(self, axes, keep_dims, op_type, dtype, ie_device, precision, ir_version):
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self._test(*self.create_model(op_type, axes, keep_dims),
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ie_device, precision, ir_version, trace_model=True,
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kwargs_to_prepare_input={"dtype": dtype})
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