6358974c1a
* Add PythonOp * Fix deprecation & cleanup * Apply suggestions from code review * Fix dtype * Apply suggestions from code review Co-authored-by: Maxim Vafin <maxim.vafin@intel.com> * Update to new tensor names handling * Fix negation * Apply changes from code review * Remove unnecesary imports * Update src/frontends/pytorch/src/op/pythonop.cpp Co-authored-by: Maxim Vafin <maxim.vafin@intel.com> --------- Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
57 lines
1.4 KiB
Python
57 lines
1.4 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 TestPythonOp(PytorchLayerTest):
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def _prepare_input(self):
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return (np.random.randn(1, 3, 128, 128),)
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def create_model(self):
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import torch
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from torch.autograd.function import Function
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class _ExpF(Function):
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@staticmethod
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def forward(ctx, input_tensor):
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exp = torch.exp(input_tensor)
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ctx.save_for_backward(exp)
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return exp
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exp_f = _ExpF.apply
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class prim_pythonop(torch.nn.Module):
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def forward(self, input_tensor):
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return exp_f(input_tensor)
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ref_net = None
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return prim_pythonop(), ref_net, "prim::PythonOp"
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@pytest.mark.parametrize(
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("use_trace"),
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[
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True,
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pytest.param(
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False,
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marks=pytest.mark.xfail(
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reason="Subgraph of prim::PythonOp cannot be retrived using if using scripting."
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),
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),
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],
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)
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_pythonop(self, use_trace, ie_device, precision, ir_version):
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self._test(
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*self.create_model(),
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ie_device,
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precision,
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ir_version,
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trace_model=use_trace
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)
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