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Fix unsupported dtype in ov graph constant converter
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yunchu committed Dec 15, 2023
1 parent 3b1a7b7 commit c84cf54
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Showing 3 changed files with 5 additions and 0 deletions.
2 changes: 2 additions & 0 deletions src/otx/core/ov/ops/infrastructures.py
Original file line number Diff line number Diff line change
Expand Up @@ -233,6 +233,8 @@ def from_ov(cls, ov_op):
if not np.array_equal(data, data_):
logger.warning(f"Overflow detected in {op_name}")
data = torch.from_numpy(data_)
elif data.dtype == np.uint16:
data = torch.from_numpy(data.astype(np.int32))

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else:
data = torch.from_numpy(data)

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1 change: 1 addition & 0 deletions src/otx/core/ov/ops/type_conversions.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
"u1": torch.uint8, # no type in torch
"u4": torch.uint8, # no type in torch
"u8": torch.uint8,
"u16": torch.int32, # no type in torch
"u32": torch.int32, # no type in torch
"u64": torch.int64, # no type in torch
"i4": torch.int8, # no type in torch
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2 changes: 2 additions & 0 deletions tests/unit/core/ov/graph/test_ov_graph_utils.py
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Expand Up @@ -2,6 +2,7 @@
# SPDX-License-Identifier: Apache-2.0
#

import pytest
from otx.core.ov.graph.graph import Graph
from otx.core.ov.graph.utils import (
get_constant_input_nodes,
Expand Down Expand Up @@ -38,6 +39,7 @@ def test_handle_merging_into_batchnorm():


@e2e_pytest_unit
@pytest.mark.skip(reason="Updated models are not compatible with the paired batchnorm converter")
def test_handle_paired_batchnorm():
graph = get_graph()
handle_paired_batchnorm(graph)
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