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Update dependency for exportable code (#2732)
* update dependecy for exportable code * Fix unsupported dtype in ov graph constant converter
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.gitignore

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@@ -18,6 +18,7 @@ results/
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build/
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dist/
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!src/otx/recipes/**
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src/otx/recipes/**/__pycache__/
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*egg-info
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*.pth
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openvino==2023.0
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openvino-model-api==0.1.8
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otx @ git+https://github.com/openvinotoolkit/training_extensions/@4abe2ea89680d4bdf54f97e1fa78abebd65c7e36#egg=otx
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otx==1.4.4
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numpy>=1.21.0,<=1.23.5 # np.bool was removed in 1.24.0 which was used in openvino runtime

src/otx/core/ov/ops/infrastructures.py

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@@ -233,6 +233,8 @@ def from_ov(cls, ov_op):
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if not np.array_equal(data, data_):
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logger.warning(f"Overflow detected in {op_name}")
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data = torch.from_numpy(data_)
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elif data.dtype == np.uint16:
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data = torch.from_numpy(data.astype(np.int32))
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else:
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data = torch.from_numpy(data)
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src/otx/core/ov/ops/type_conversions.py

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"u1": torch.uint8, # no type in torch
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"u4": torch.uint8, # no type in torch
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"u8": torch.uint8,
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"u16": torch.int32, # no type in torch
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"u32": torch.int32, # no type in torch
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"u64": torch.int64, # no type in torch
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"i4": torch.int8, # no type in torch

tests/unit/core/ov/graph/test_ov_graph_utils.py

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# SPDX-License-Identifier: Apache-2.0
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#
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import pytest
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from otx.core.ov.graph.graph import Graph
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from otx.core.ov.graph.utils import (
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get_constant_input_nodes,
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@e2e_pytest_unit
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@pytest.mark.skip(reason="Updated models are not compatible with the paired batchnorm converter")
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def test_handle_paired_batchnorm():
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graph = get_graph()
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handle_paired_batchnorm(graph)

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