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[Accuracy diff No.120、121、130] Fix accuracy diff for upsample interploate #431

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Merged
merged 3 commits into from
Jul 25, 2025
Merged

[Accuracy diff No.120、121、130] Fix accuracy diff for upsample interploate #431

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2700943
fix
cszdrg Jul 24, 2025
c493ec6
Merge branch 'main' of https://github.com/PFCCLab/PaddleAPITest into …
cszdrg Jul 24, 2025
8925bd8
fix
cszdrg Jul 24, 2025
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1,236 changes: 1,236 additions & 0 deletions tester/api_config/3_paddle_only/paddle_only.txt
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8,887 changes: 4,525 additions & 4,362 deletions tester/api_config/5_accuracy/accuracy_7.txt
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11 changes: 0 additions & 11 deletions tester/api_config/5_accuracy/accuracy_cpu_error.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -1430,17 +1430,6 @@ paddle.nn.functional.grid_sample(Tensor([1, 4, 400, 300],"float32"), Tensor([1,
paddle.nn.functional.grid_sample(Tensor([1, 4, 400, 300],"float32"), Tensor([1, 434, 346, 2],"float32"), mode="nearest", padding_mode="zeros", align_corners=False, )
paddle.nn.functional.grid_sample(Tensor([1, 4, 430, 340],"float32"), Tensor([1, 477, 401, 2],"float32"), mode="nearest", padding_mode="zeros", align_corners=False, )
paddle.nn.functional.grid_sample(Tensor([1, 4, 434, 346],"float32"), Tensor([1, 466, 386, 2],"float32"), mode="nearest", padding_mode="zeros", align_corners=False, )
paddle.nn.functional.interpolate(Tensor([1, 2, 128, 128],"float16"), list[512,512,], mode="bilinear", align_corners=False, data_format="NCHW", )
paddle.nn.functional.interpolate(Tensor([2, 2, 128, 128],"float16"), list[512,512,], mode="bilinear", align_corners=False, data_format="NCHW", )
paddle.nn.functional.interpolate(Tensor([4, 128, 32, 32],"float16"), list[128,128,], mode="bilinear", align_corners=False, )
paddle.nn.functional.interpolate(Tensor([4, 128, 4, 4],"float16"), list[16,32,], mode="bilinear", align_corners=False, )
paddle.nn.functional.interpolate(Tensor([4, 19, 128, 256],"float16"), list[512,1024,], mode="bilinear", align_corners=False, data_format="NCHW", )
paddle.nn.functional.interpolate(Tensor([4, 19, 256, 256],"float16"), list[1024,1024,], mode="bilinear", align_corners=False, )
paddle.nn.functional.interpolate(Tensor([4, 19, 256, 256],"float16"), size=list[1024,1024,], mode="bilinear", align_corners=False, )
paddle.nn.functional.interpolate(Tensor([4, 2, 128, 128],"float16"), list[512,512,], mode="bilinear", align_corners=False, data_format="NCHW", )
paddle.nn.functional.interpolate(Tensor([4, 256, 16, 16],"float16"), size=list[64,64,], mode="bilinear", )
paddle.nn.functional.interpolate(Tensor([4, 256, 64, 64],"float16"), size=list[256,256,], mode="bilinear", align_corners=False, )
paddle.nn.functional.interpolate(Tensor([512, 40, 4, 3],"float16"), size=None, scale_factor=8, mode="nearest", align_corners=False, align_mode=0, data_format="NCHW", name=None, )
paddle.nn.functional.rnnt_loss(Tensor([3, 4, 3, 3],"float32"), Tensor([3, 2],"int32"), Tensor([3],"int32"), Tensor([3],"int32"), blank=0, fastemit_lambda=0.0, reduction="none", name=None, )
paddle.nn.functional.rnnt_loss(Tensor([3, 4, 3, 3],"float32"), Tensor([3, 2],"int32"), Tensor([3],"int32"), Tensor([3],"int32"), blank=0, reduction="mean", fastemit_lambda=0.0, )
paddle.nn.functional.rnnt_loss(Tensor([3, 4, 3, 3],"float32"), Tensor([3, 2],"int32"), Tensor([3],"int32"), Tensor([3],"int32"), blank=0, reduction="sum", fastemit_lambda=0.0, )
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