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https://github.com/luxfi/onnx-source-snapshot.git
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92 lines
2.3 KiB
Python
92 lines
2.3 KiB
Python
# Copyright (c) ONNX Project Contributors
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#
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# SPDX-License-Identifier: Apache-2.0
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from __future__ import annotations
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import numpy as np
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import onnx
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from onnx.backend.test.case.base import Base
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from onnx.backend.test.case.node import expect
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class Gather(Base):
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@staticmethod
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def export_gather_0() -> None:
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node = onnx.helper.make_node(
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"Gather",
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inputs=["data", "indices"],
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outputs=["y"],
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axis=0,
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)
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data = np.random.randn(5, 4, 3, 2).astype(np.float32)
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indices = np.array([0, 1, 3])
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y = np.take(data, indices, axis=0)
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expect(
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node,
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inputs=[data, indices.astype(np.int64)],
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outputs=[y],
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name="test_gather_0",
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)
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@staticmethod
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def export_gather_1() -> None:
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node = onnx.helper.make_node(
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"Gather",
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inputs=["data", "indices"],
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outputs=["y"],
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axis=1,
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)
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data = np.random.randn(5, 4, 3, 2).astype(np.float32)
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indices = np.array([0, 1, 3])
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y = np.take(data, indices, axis=1)
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expect(
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node,
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inputs=[data, indices.astype(np.int64)],
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outputs=[y],
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name="test_gather_1",
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)
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@staticmethod
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def export_gather_2d_indices() -> None:
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node = onnx.helper.make_node(
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"Gather",
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inputs=["data", "indices"],
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outputs=["y"],
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axis=1,
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)
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data = np.random.randn(3, 3).astype(np.float32)
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indices = np.array([[0, 2]])
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y = np.take(data, indices, axis=1)
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expect(
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node,
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inputs=[data, indices.astype(np.int64)],
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outputs=[y],
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name="test_gather_2d_indices",
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)
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@staticmethod
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def export_gather_negative_indices() -> None:
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node = onnx.helper.make_node(
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"Gather",
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inputs=["data", "indices"],
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outputs=["y"],
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axis=0,
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)
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data = np.arange(10).astype(np.float32)
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indices = np.array([0, -9, -10])
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y = np.take(data, indices, axis=0)
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# print(y)
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# [0. 1. 0.]
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expect(
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node,
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inputs=[data, indices.astype(np.int64)],
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outputs=[y],
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name="test_gather_negative_indices",
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)
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