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https://github.com/luxfi/onnx-source-snapshot.git
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101 lines
3.5 KiB
Python
101 lines
3.5 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 BitShift(Base):
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@staticmethod
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def export_right_unit8() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="RIGHT"
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)
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x = np.array([16, 4, 1]).astype(np.uint8)
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y = np.array([1, 2, 3]).astype(np.uint8)
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z = x >> y # expected output [8, 1, 0]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_right_uint8")
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@staticmethod
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def export_right_unit16() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="RIGHT"
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)
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x = np.array([16, 4, 1]).astype(np.uint16)
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y = np.array([1, 2, 3]).astype(np.uint16)
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z = x >> y # expected output [8, 1, 0]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_right_uint16")
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@staticmethod
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def export_right_unit32() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="RIGHT"
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)
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x = np.array([16, 4, 1]).astype(np.uint32)
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y = np.array([1, 2, 3]).astype(np.uint32)
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z = x >> y # expected output [8, 1, 0]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_right_uint32")
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@staticmethod
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def export_right_unit64() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="RIGHT"
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)
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x = np.array([16, 4, 1]).astype(np.uint64)
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y = np.array([1, 2, 3]).astype(np.uint64)
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z = x >> y # expected output [8, 1, 0]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_right_uint64")
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@staticmethod
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def export_left_unit8() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="LEFT"
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)
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x = np.array([16, 4, 1]).astype(np.uint8)
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y = np.array([1, 2, 3]).astype(np.uint8)
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z = x << y # expected output [32, 16, 8]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_left_uint8")
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@staticmethod
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def export_left_unit16() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="LEFT"
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)
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x = np.array([16, 4, 1]).astype(np.uint16)
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y = np.array([1, 2, 3]).astype(np.uint16)
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z = x << y # expected output [32, 16, 8]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_left_uint16")
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@staticmethod
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def export_left_unit32() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="LEFT"
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)
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x = np.array([16, 4, 1]).astype(np.uint32)
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y = np.array([1, 2, 3]).astype(np.uint32)
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z = x << y # expected output [32, 16, 8]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_left_uint32")
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@staticmethod
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def export_left_unit64() -> None:
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node = onnx.helper.make_node(
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"BitShift", inputs=["x", "y"], outputs=["z"], direction="LEFT"
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)
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x = np.array([16, 4, 1]).astype(np.uint64)
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y = np.array([1, 2, 3]).astype(np.uint64)
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z = x << y # expected output [32, 16, 8]
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expect(node, inputs=[x, y], outputs=[z], name="test_bitshift_left_uint64")
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