Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
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mindspore.ops.interpolate不支持mode="bicubic"模式下传入scale_factor参数 #1373
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xuzihao2024 opened 2 weeks ago
Describe the bug/ 问题描述 (Mandatory / 必填) 在DINOv2模型迁移时遇到该问题, PR链接:https://github.com/mindspore-lab/mindnlp/pull/1375, mindnlp/transformers/models/dinov2/modeling_dinov2.py:line83
mindspore.ops.interpolate不支持mode="bicubic"模式下传入scale_factor参数。 根据官方文档,若添加recompute_scale_factor=True可规避报错,但当scale_factor为浮点数时会产生精度误差。 官方文档:https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_diff/interpolate.html
Hardware Environment(
Ascend
/GPU
/CPU
) / 硬件环境:Software Environment / 软件环境 (Mandatory / 必填):
Excute Mode / 执行模式 (Mandatory / 必填)(
PyNative
/Graph
):To Reproduce / 重现步骤 (Mandatory / 必填)
Expected behavior / 预期结果 (Mandatory / 必填)
支持mode="bicubic"时传入浮点型scale_factor
Screenshots/ 日志 / 截图 (Mandatory / 必填)
Additional context / 备注 (Optional / 选填)