diff --git a/report/ci_ce_cpu/error_api.txt b/report/ci_ce_cpu/error_api.txt index 26f00dae..aeeb3f0a 100644 --- a/report/ci_ce_cpu/error_api.txt +++ b/report/ci_ce_cpu/error_api.txt @@ -43,7 +43,6 @@ paddle.linalg.lstsq paddle.linalg.matrix_rank paddle.linalg.norm paddle.linalg.pinv -paddle.linalg.svd_lowrank paddle.logit paddle.max paddle.maximum diff --git a/report/ci_ce_cpu/error_config.txt b/report/ci_ce_cpu/error_config.txt index 23e7465c..a8cd120a 100644 --- a/report/ci_ce_cpu/error_config.txt +++ b/report/ci_ce_cpu/error_config.txt @@ -1618,46 +1618,6 @@ paddle.linalg.pinv(x=Tensor([2, 2],"complex64"), hermitian=True, ) paddle.linalg.pinv(x=Tensor([2, 2],"float32"), hermitian=True, ) paddle.linalg.pinv(x=Tensor([2, 2],"float64"), hermitian=True, ) paddle.linalg.pinv(x=Tensor([4, 2, 2],"float64"), hermitian=True, ) -paddle.linalg.svd_lowrank(Tensor([1, 100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([1, 100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([1, 100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([1, 17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([1, 17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([1, 4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([1, 40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([1, 40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([1, 40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([3, 100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([3, 100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([3, 100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([3, 17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([3, 17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([3, 4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([3, 4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([3, 40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([3, 40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([3, 40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([5, 5],"float64"), None, ) paddle.logit(Tensor([],"float32"), ) paddle.logit(x=Tensor([4, 2],"float64"), ) paddle.logit(x=Tensor([4, 3, 2, 5],"float64"), ) diff --git a/report/ci_ce_gpu/error_api.txt b/report/ci_ce_gpu/error_api.txt index 5094c6be..c3abf4a1 100644 --- a/report/ci_ce_gpu/error_api.txt +++ b/report/ci_ce_gpu/error_api.txt @@ -88,7 +88,6 @@ paddle.broadcast_to paddle.dot paddle.linalg.norm paddle.linalg.pinv -paddle.linalg.svd_lowrank paddle.logit paddle.maximum paddle.minimum diff --git a/report/ci_ce_gpu/error_config.txt b/report/ci_ce_gpu/error_config.txt index a3e3e20f..b7f5cd5f 100644 --- a/report/ci_ce_gpu/error_config.txt +++ b/report/ci_ce_gpu/error_config.txt @@ -37336,47 +37336,6 @@ paddle.linalg.pinv(x=Tensor([2, 2],"complex64"), hermitian=True, ) paddle.linalg.pinv(x=Tensor([2, 2],"float32"), hermitian=True, ) paddle.linalg.pinv(x=Tensor([2, 2],"float64"), hermitian=True, ) paddle.linalg.pinv(x=Tensor([4, 2, 2],"float64"), hermitian=True, ) -paddle.linalg.svd_lowrank(Tensor([1, 100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([1, 100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([1, 100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([1, 17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([1, 17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([1, 4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([1, 4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([1, 40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([1, 40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([1, 40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([2, 3, 40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([3, 100, 40],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([3, 100, 40],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([3, 100, 40],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([3, 17, 4],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([3, 17, 4],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([3, 4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([3, 4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([3, 40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([3, 40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([3, 40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([4, 17],"float64"), q=2, ) -paddle.linalg.svd_lowrank(Tensor([4, 17],"float64"), q=4, ) -paddle.linalg.svd_lowrank(Tensor([40, 100],"float64"), q=12, ) -paddle.linalg.svd_lowrank(Tensor([40, 100],"float64"), q=6, ) -paddle.linalg.svd_lowrank(Tensor([40, 100],"float64"), q=8, ) -paddle.linalg.svd_lowrank(Tensor([5, 5],"float64"), None, ) paddle.logit(x=Tensor([4, 2],"float64"), ) paddle.logit(x=Tensor([4, 3, 2, 5],"float64"), ) paddle.logit(x=Tensor([4, 3, 2],"float64"), )