Add FP16 option in save_combine_op#10471
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| std::vector<int> lod1 = {0, 1, 2, 3}; | ||
| int numel1 = 100; | ||
| paddle::framework::LoD expect_lod1; | ||
| float* expect1 = CreateForSaveCombineOp<float>(10, 10, lod1, "test_var1", |
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Not sure if it is related to the error.
But the last number of your lod vector info should match the first dimension of your tensor, which is 10 here.
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Fixed (though it is not related to the error).
| std::vector<int> lod3 = {0, 1, 2, 3}; | ||
| int numel3 = 2050; | ||
| paddle::framework::LoD expect_lod3; | ||
| float* expect3 = CreateForSaveCombineOp<float>(1, 2050, lod3, "test_var3", |
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Your lod3 = {0, 1, 2, 3}, but the first dimension of your tensor is 1. Not sure if this is right.
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Thanks @kexinzhao . I found the reason which causes the failure. It seems that converting from int -> float16 -> float, results in loss of information.
After the values 2048, the values are:
i, float(float16(i))
2048, 2048
2049, 2048
2050, 2050
2051, 2050
2052, 2052
2053, 2052
2054, 2054
2055, 2054
2056, 2056
2057, 2056
… save_combine_fp16
… save_combine_fp16
… save_combine_fp16
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Issue: it fails the check since the 3rd tensor has size > 2050.