mirror of
https://github.com/luxfi/onnx-source-snapshot.git
synced 2026-10-30 15:23:38 +00:00
81 lines
2.1 KiB
Python
81 lines
2.1 KiB
Python
# Copyright (c) ONNX Project Contributors
|
|
#
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
from __future__ import annotations
|
|
|
|
import numpy as np
|
|
|
|
import onnx
|
|
from onnx.backend.test.case.base import Base
|
|
from onnx.backend.test.case.node import expect
|
|
|
|
|
|
class SplitToSequence(Base):
|
|
@staticmethod
|
|
def export_with_split_1() -> None:
|
|
data = np.arange(18).reshape((3, 6)).astype(np.float32)
|
|
split = np.array(2, dtype=np.int64)
|
|
|
|
node = onnx.helper.make_node(
|
|
"SplitToSequence", ["data", "split"], ["seq"], axis=1
|
|
)
|
|
|
|
expected_outputs = [
|
|
[
|
|
np.array([[0.0, 1.0], [6.0, 7.0], [12.0, 13.0]], dtype=np.float32),
|
|
np.array([[2.0, 3.0], [8.0, 9.0], [14.0, 15.0]], dtype=np.float32),
|
|
np.array([[4.0, 5.0], [10.0, 11.0], [16.0, 17.0]], dtype=np.float32),
|
|
]
|
|
]
|
|
|
|
expect(
|
|
node,
|
|
inputs=[data, split],
|
|
outputs=expected_outputs,
|
|
name="test_split_to_sequence_1",
|
|
)
|
|
|
|
@staticmethod
|
|
def export_with_split_2() -> None:
|
|
data = np.arange(18).reshape((3, 6)).astype(np.float32)
|
|
split = np.array([1, 2], dtype=np.int64)
|
|
|
|
node = onnx.helper.make_node(
|
|
"SplitToSequence", ["data", "split"], ["seq"], axis=0
|
|
)
|
|
|
|
expected_outputs = [
|
|
[
|
|
data[:1],
|
|
data[1:],
|
|
]
|
|
]
|
|
|
|
expect(
|
|
node,
|
|
inputs=[data, split],
|
|
outputs=expected_outputs,
|
|
name="test_split_to_sequence_2",
|
|
)
|
|
|
|
@staticmethod
|
|
def export_nokeepdims() -> None:
|
|
data = np.arange(18).reshape((3, 6)).astype(np.float32)
|
|
|
|
node = onnx.helper.make_node(
|
|
"SplitToSequence",
|
|
["data"],
|
|
["seq"],
|
|
axis=1,
|
|
keepdims=0,
|
|
)
|
|
|
|
expected_outputs = [[data[:, i] for i in range(data.shape[1])]]
|
|
|
|
expect(
|
|
node,
|
|
inputs=[data],
|
|
outputs=expected_outputs,
|
|
name="test_split_to_sequence_nokeepdims",
|
|
)
|