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[Accuracy diff No.6、7、58] Fix accuracy diff for argsort API #219

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Merged
wanghuancoder merged 2 commits into from
Jun 3, 2025
Merged

[Accuracy diff No.6、7、58] Fix accuracy diff for argsort API #219

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197d822
remove sort to random
cszdrg Jun 3, 2025
8be1c59
remove sort to random
cszdrg Jun 3, 2025
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121 changes: 120 additions & 1 deletion tester/api_config/2_paddle_only_random/random_calculation.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -25516,4 +25516,123 @@ 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.linalg.triangular_solve(x=Tensor([4, 4],"float64"), y=Tensor([4, 4],"float64"), upper=False, transpose=True, )
paddle.linalg.triangular_solve(x=Tensor([4, 4],"float64"), y=Tensor([4, 4],"float64"), upper=False, transpose=True, unitriangular=True, )
paddle.linalg.triangular_solve(x=Tensor([4, 4],"float64"), y=Tensor([4, 4],"float64"), upper=False, transpose=True, unitriangular=True, )
paddle.argsort(Tensor([3, 10000],"float32"), descending=True, )
paddle.argsort(Tensor([35968],"float32"), )
paddle.argsort(Tensor([5, 12000],"float32"), descending=True, )
paddle.argsort(Tensor([1, 30000],"float32"), descending=True, )
paddle.argsort(Tensor([1, 32000],"float16"), descending=True, )
paddle.argsort(Tensor([1, 50304],"float32"), descending=True, )
paddle.argsort(Tensor([1, 10000],"float64"), axis=1, )
paddle.argsort(Tensor([1, 10000],"float64"), axis=1, descending=True, )
paddle.argsort(Tensor([1000, 10],"float32"), descending=True, )
paddle.argsort(Tensor([1000, 5],"float32"), descending=True, )
paddle.argsort(Tensor([10000, 1],"float64"), axis=0, )
paddle.argsort(Tensor([10000, 1],"float64"), axis=0, descending=True, )
paddle.argsort(Tensor([10000],"float64"), axis=0, )
paddle.argsort(Tensor([10000],"float64"), axis=0, descending=True, )
paddle.argsort(Tensor([1024],"float32"), )
paddle.argsort(Tensor([1184],"float32"), )
paddle.argsort(Tensor([12],"float32"), descending=True, )
paddle.argsort(Tensor([13],"float32"), descending=True, )
paddle.argsort(Tensor([14],"float32"), descending=True, )
paddle.argsort(Tensor([15],"float32"), descending=True, )
paddle.argsort(Tensor([16384],"float32"), )
paddle.argsort(Tensor([16],"float32"), descending=True, )
paddle.argsort(Tensor([17],"float32"), descending=True, )
paddle.argsort(Tensor([18],"float32"), descending=True, )
paddle.argsort(Tensor([1],"int64"), )
paddle.argsort(Tensor([2, 10],"float32"), descending=True, )
paddle.argsort(Tensor([2, 3, 4],"float64"), axis=1, )
paddle.argsort(Tensor([2, 3, 4],"float64"), axis=1, descending=True, )
paddle.argsort(Tensor([2, 3, 4],"float64"), descending=True, )
paddle.argsort(Tensor([2, 4],"float32"), descending=True, )
paddle.argsort(Tensor([20],"float32"), )
paddle.argsort(Tensor([20],"float32"), descending=True, )
paddle.argsort(Tensor([26, 64],"int64"), axis=-1, )
paddle.argsort(Tensor([27],"float32"), descending=True, )
paddle.argsort(Tensor([2],"int64"), )
paddle.argsort(Tensor([32],"float32"), )
paddle.argsort(Tensor([32],"float32"), descending=True, )
paddle.argsort(Tensor([34],"float32"), descending=True, )
paddle.argsort(Tensor([36, 10],"float32"), descending=True, )
paddle.argsort(Tensor([4, 2],"float32"), descending=True, )
paddle.argsort(Tensor([4, 4],"float64"), descending=True, )
paddle.argsort(Tensor([4],"float64"), axis=0, )
paddle.argsort(Tensor([4],"float64"), axis=0, descending=True, )
paddle.argsort(Tensor([512],"float32"), )
paddle.argsort(Tensor([58],"float32"), descending=True, )
paddle.argsort(Tensor([59],"float32"), descending=True, )
paddle.argsort(Tensor([60],"float32"), descending=True, )
paddle.argsort(Tensor([61],"float32"), descending=True, )
paddle.argsort(Tensor([64, 10],"float32"), descending=True, )
paddle.argsort(Tensor([64],"float32"), descending=True, )
paddle.argsort(Tensor([8, 10],"float32"), descending=True, )
paddle.argsort(Tensor([],"float32"), axis=-1, )
paddle.argsort(Tensor([],"float32"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"float32"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=-1, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=0, descending=True, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=1, )
paddle.argsort(x=Tensor([3, 2, 2],"int32"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"int64"), axis=0, )
paddle.Tensor.argsort(Tensor([2097152],"float32"), )
paddle.Tensor.argsort(Tensor([4, 22400],"float32"), axis=1, descending=True, )
paddle.Tensor.argsort(Tensor([4, 22400],"int64"), axis=1, )
paddle.Tensor.argsort(Tensor([4194304],"float32"), )
paddle.Tensor.sort(Tensor([1638400],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([3276800],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([3686400],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([6553600],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([7372800],"float32"), descending=True, )
paddle.sort(Tensor([1, 30000],"float32"), descending=True, )
paddle.sort(Tensor([1, 32000],"float16"), descending=True, )
paddle.sort(Tensor([1, 50304],"float32"), descending=True, )
paddle.sort(Tensor([10, 10],"float64"), )
paddle.sort(Tensor([10, 10],"float64"), axis=-1, )
paddle.sort(Tensor([1024],"float32"), )
paddle.sort(Tensor([1024],"float32"), 0, )
paddle.sort(Tensor([1024],"float64"), )
paddle.sort(Tensor([1024],"int32"), )
paddle.sort(Tensor([1024],"int64"), )
paddle.sort(Tensor([1184],"float32"), 0, )
paddle.sort(Tensor([16384],"float32"), 0, )
paddle.sort(Tensor([168],"float64"), 0, )
paddle.sort(Tensor([1],"float32"), 0, )
paddle.sort(Tensor([2, 10],"float32"), descending=True, )
paddle.sort(Tensor([2, 3, 4],"float64"), 0, )
paddle.sort(Tensor([2, 3],"float32"), 1, )
paddle.sort(Tensor([2, 3],"float64"), 0, )
paddle.sort(Tensor([2, 4],"float32"), descending=True, )
paddle.sort(Tensor([20],"float32"), 0, )
paddle.sort(Tensor([2160],"float64"), 0, )
paddle.sort(Tensor([3, 3, 3],"float32"), 0, )
paddle.sort(Tensor([3, 3, 3],"float64"), 0, )
paddle.sort(Tensor([3, 6, 3, 4, 2, 5],"float64"), 3, )
paddle.sort(Tensor([3, 6, 3, 4, 2, 5],"float64"), 4, )
paddle.sort(Tensor([3, 6, 3, 4, 2, 5],"float64"), 5, )
paddle.sort(Tensor([30],"float64"), axis=0, )
paddle.sort(Tensor([32],"float32"), 0, )
paddle.sort(Tensor([37],"float32"), 0, )
paddle.sort(Tensor([3],"float32"), 0, )
paddle.sort(Tensor([4, 42],"float64"), 1, )
paddle.sort(Tensor([4, 7, 6],"float64"), 1, )
paddle.sort(Tensor([4, 7, 6],"float64"), 2, )
paddle.sort(Tensor([4, 7],"float32"), 1, )
paddle.sort(Tensor([4, 7],"float64"), 1, )
paddle.sort(Tensor([5, 12],"float64"), 1, )
paddle.sort(Tensor([5, 3, 4],"float64"), 1, )
paddle.sort(Tensor([512],"float32"), 0, )
paddle.sort(Tensor([6],"float32"), 0, )
paddle.sort(Tensor([7, 24],"float64"), 1, )
paddle.sort(Tensor([8],"float32"), 0, )
paddle.sort(Tensor([],"float32"), axis=-1, )
paddle.sort(Tensor([],"float32"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"float32"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=-1, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=0, descending=True, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=1, )
paddle.sort(x=Tensor([3, 2, 2],"int32"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"int64"), axis=0, )
54 changes: 0 additions & 54 deletions tester/api_config/5_accuracy/accuracy_5.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -197374,42 +197374,13 @@ paddle.argmin(x=Tensor([3, 3, 5],"float64"), axis=2, dtype=type(numpy.int64), )
paddle.argmin(x=Tensor([3, 3],"int64"), axis=-2, )
paddle.argmin(x=Tensor([3, 3],"int64"), axis=Tensor([1],"int64"), )
paddle.argmin(x=Tensor([3],"int64"), axis=-1, keepdim=True, )
paddle.argsort(Tensor([1, 10000],"float64"), axis=1, )
paddle.argsort(Tensor([1, 10000],"float64"), axis=1, descending=True, )
paddle.argsort(Tensor([1, 30],"float64"), axis=1, descending=True, stable=True, )
paddle.argsort(Tensor([1, 30],"float64"), axis=1, stable=True, )
paddle.argsort(Tensor([1000, 10],"float32"), descending=True, )
paddle.argsort(Tensor([1000, 5],"float32"), descending=True, )
paddle.argsort(Tensor([10000, 1],"float64"), axis=0, )
paddle.argsort(Tensor([10000, 1],"float64"), axis=0, descending=True, )
paddle.argsort(Tensor([10000],"float64"), axis=0, )
paddle.argsort(Tensor([10000],"float64"), axis=0, descending=True, )
paddle.argsort(Tensor([1024],"float32"), )
paddle.argsort(Tensor([1184],"float32"), )
paddle.argsort(Tensor([12],"float32"), descending=True, )
paddle.argsort(Tensor([13],"float32"), descending=True, )
paddle.argsort(Tensor([14],"float32"), descending=True, )
paddle.argsort(Tensor([1500],"float32"), stable=True, )
paddle.argsort(Tensor([1500],"float64"), stable=True, )
paddle.argsort(Tensor([1500],"int32"), stable=True, )
paddle.argsort(Tensor([1500],"int64"), stable=True, )
paddle.argsort(Tensor([15],"float32"), descending=True, )
paddle.argsort(Tensor([16384],"float32"), )
paddle.argsort(Tensor([16],"float32"), descending=True, )
paddle.argsort(Tensor([17],"float32"), descending=True, )
paddle.argsort(Tensor([18],"float32"), descending=True, )
paddle.argsort(Tensor([1],"int64"), )
paddle.argsort(Tensor([2, 100],"int64"), axis=1, stable=True, )
paddle.argsort(Tensor([2, 10],"float32"), descending=True, )
paddle.argsort(Tensor([2, 3, 4],"float64"), axis=1, )
paddle.argsort(Tensor([2, 3, 4],"float64"), axis=1, descending=True, )
paddle.argsort(Tensor([2, 3, 4],"float64"), descending=True, )
paddle.argsort(Tensor([2, 4],"float32"), descending=True, )
paddle.argsort(Tensor([20],"float32"), )
paddle.argsort(Tensor([20],"float32"), descending=True, )
paddle.argsort(Tensor([26, 64],"int64"), axis=-1, )
paddle.argsort(Tensor([27],"float32"), descending=True, )
paddle.argsort(Tensor([2],"int64"), )
paddle.argsort(Tensor([3, 10],"int64"), axis=1, stable=True, )
paddle.argsort(Tensor([3, 4, 2],"int64"), axis=0, stable=True, )
paddle.argsort(Tensor([3, 4, 2],"int64"), axis=1, stable=True, )
Expand All @@ -197424,35 +197395,10 @@ paddle.argsort(Tensor([300],"int32"), stable=True, )
paddle.argsort(Tensor([300],"int64"), stable=True, )
paddle.argsort(Tensor([30],"float64"), axis=0, descending=True, stable=True, )
paddle.argsort(Tensor([30],"float64"), axis=0, stable=True, )
paddle.argsort(Tensor([32],"float32"), )
paddle.argsort(Tensor([32],"float32"), descending=True, )
paddle.argsort(Tensor([34],"float32"), descending=True, )
paddle.argsort(Tensor([36, 10],"float32"), descending=True, )
paddle.argsort(Tensor([4, 2],"float32"), descending=True, )
paddle.argsort(Tensor([4, 4],"float64"), descending=True, )
paddle.argsort(Tensor([40, 3, 4],"float64"), axis=0, descending=True, stable=True, )
paddle.argsort(Tensor([40, 3, 4],"float64"), axis=0, stable=True, )
paddle.argsort(Tensor([4],"float64"), axis=0, )
paddle.argsort(Tensor([4],"float64"), axis=0, descending=True, )
paddle.argsort(Tensor([5, 4],"int64"), axis=0, stable=True, )
paddle.argsort(Tensor([5, 4],"int64"), axis=1, stable=True, )
paddle.argsort(Tensor([512],"float32"), )
paddle.argsort(Tensor([58],"float32"), descending=True, )
paddle.argsort(Tensor([59],"float32"), descending=True, )
paddle.argsort(Tensor([60],"float32"), descending=True, )
paddle.argsort(Tensor([61],"float32"), descending=True, )
paddle.argsort(Tensor([64, 10],"float32"), descending=True, )
paddle.argsort(Tensor([64],"float32"), descending=True, )
paddle.argsort(Tensor([8, 10],"float32"), descending=True, )
paddle.argsort(Tensor([],"float32"), axis=-1, )
paddle.argsort(Tensor([],"float32"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"float32"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=-1, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=0, descending=True, )
paddle.argsort(x=Tensor([3, 2, 2],"float64"), axis=1, )
paddle.argsort(x=Tensor([3, 2, 2],"int32"), axis=0, )
paddle.argsort(x=Tensor([3, 2, 2],"int64"), axis=0, )
paddle.as_complex(Tensor([10, 10, 10, 2],"float32"), )
paddle.as_complex(Tensor([10, 10, 2],"float64"), )
paddle.as_complex(Tensor([2, 4, 2],"float32"), )
Expand Down
47 changes: 0 additions & 47 deletions tester/api_config/5_accuracy/accuracy_7.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -230389,53 +230389,6 @@ paddle.slice_scatter(Tensor([8, 9, 6],"float32"), Tensor([1, 9, 1],"float32"), a
paddle.slice_scatter(Tensor([8, 9, 6],"float64"), Tensor([1, 9, 1],"float64"), axes=list[0,2,], starts=list[2,3,], ends=list[7,5,], strides=list[3,2,], )
paddle.slice_scatter(Tensor([8, 9],"float32"), Tensor([8, 1],"float32"), axes=list[1,], starts=list[2,], ends=list[6,], strides=list[2,], )
paddle.slice_scatter(Tensor([8, 9],"float64"), Tensor([8, 1],"float64"), axes=list[1,], starts=list[2,], ends=list[6,], strides=list[2,], )
paddle.sort(Tensor([10, 10],"float64"), )
paddle.sort(Tensor([10, 10],"float64"), axis=-1, )
paddle.sort(Tensor([1024],"float32"), )
paddle.sort(Tensor([1024],"float32"), 0, )
paddle.sort(Tensor([1024],"float64"), )
paddle.sort(Tensor([1024],"int32"), )
paddle.sort(Tensor([1024],"int64"), )
paddle.sort(Tensor([1184],"float32"), 0, )
paddle.sort(Tensor([16384],"float32"), 0, )
paddle.sort(Tensor([168],"float64"), 0, )
paddle.sort(Tensor([1],"float32"), 0, )
paddle.sort(Tensor([2, 10],"float32"), descending=True, )
paddle.sort(Tensor([2, 3, 4],"float64"), 0, )
paddle.sort(Tensor([2, 3],"float32"), 1, )
paddle.sort(Tensor([2, 3],"float64"), 0, )
paddle.sort(Tensor([2, 4],"float32"), descending=True, )
paddle.sort(Tensor([20],"float32"), 0, )
paddle.sort(Tensor([2160],"float64"), 0, )
paddle.sort(Tensor([3, 3, 3],"float32"), 0, )
paddle.sort(Tensor([3, 3, 3],"float64"), 0, )
paddle.sort(Tensor([3, 6, 3, 4, 2, 5],"float64"), 3, )
paddle.sort(Tensor([3, 6, 3, 4, 2, 5],"float64"), 4, )
paddle.sort(Tensor([3, 6, 3, 4, 2, 5],"float64"), 5, )
paddle.sort(Tensor([30],"float64"), axis=0, )
paddle.sort(Tensor([32],"float32"), 0, )
paddle.sort(Tensor([37],"float32"), 0, )
paddle.sort(Tensor([3],"float32"), 0, )
paddle.sort(Tensor([4, 42],"float64"), 1, )
paddle.sort(Tensor([4, 7, 6],"float64"), 1, )
paddle.sort(Tensor([4, 7, 6],"float64"), 2, )
paddle.sort(Tensor([4, 7],"float32"), 1, )
paddle.sort(Tensor([4, 7],"float64"), 1, )
paddle.sort(Tensor([5, 12],"float64"), 1, )
paddle.sort(Tensor([5, 3, 4],"float64"), 1, )
paddle.sort(Tensor([512],"float32"), 0, )
paddle.sort(Tensor([6],"float32"), 0, )
paddle.sort(Tensor([7, 24],"float64"), 1, )
paddle.sort(Tensor([8],"float32"), 0, )
paddle.sort(Tensor([],"float32"), axis=-1, )
paddle.sort(Tensor([],"float32"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"float32"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=-1, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=0, descending=True, )
paddle.sort(x=Tensor([3, 2, 2],"float64"), axis=1, )
paddle.sort(x=Tensor([3, 2, 2],"int32"), axis=0, )
paddle.sort(x=Tensor([3, 2, 2],"int64"), axis=0, )
paddle.split(Tensor([1, 1, 10285],"float32"), list[7744,1936,484,121,], axis=-1, )
paddle.split(Tensor([1, 1, 16, 192],"float32"), num_or_sections=3, axis=-1, )
paddle.split(Tensor([1, 1, 3598],"float32"), list[2704,676,169,49,], axis=-1, )
Expand Down
7 changes: 0 additions & 7 deletions tester/api_config/5_accuracy/accuracy_cpu_error.txt
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Original file line number Diff line number Diff line change
@@ -1,9 +1,5 @@
paddle.Tensor.__mul__(Tensor([1, 1024, 32, 128],"bfloat16"), Tensor([1, 1024, 1, 128],"bfloat16"), )
paddle.Tensor.__mul__(Tensor([8, 8],"float16"), 1000000.0, )
paddle.Tensor.argsort(Tensor([2097152],"float32"), )
paddle.Tensor.argsort(Tensor([4, 22400],"float32"), axis=1, descending=True, )
paddle.Tensor.argsort(Tensor([4, 22400],"int64"), axis=1, )
paddle.Tensor.argsort(Tensor([4194304],"float32"), )
paddle.Tensor.astype(Tensor([32, 128],"int64"), Dtype(float16), )
paddle.Tensor.astype(Tensor([32, 16, 1024],"int64"), Dtype(float16), )
paddle.Tensor.astype(Tensor([32, 3, 1024],"int64"), Dtype(float16), )
Expand Down Expand Up @@ -827,9 +823,6 @@ paddle.allclose(tuple(Tensor([2, 20, 100],"float32"),), tuple(Tensor([2, 20, 100
paddle.allclose(tuple(Tensor([2, 20, 32],"float32"),), tuple(Tensor([2, 20, 32],"float32"),), rtol=0.0001, atol=0.0001, )
paddle.allclose(tuple(Tensor([2, 20, 3],"float32"),), tuple(Tensor([2, 20, 3],"float32"),), rtol=0.0001, atol=0.0001, )
paddle.allclose(tuple(Tensor([2, 3],"float32"),), tuple(Tensor([2, 3],"float32"),), rtol=0.0001, atol=0.0001, )
paddle.argsort(Tensor([3, 10000],"float32"), descending=True, )
paddle.argsort(Tensor([35968],"float32"), )
paddle.argsort(Tensor([5, 12000],"float32"), descending=True, )
paddle.broadcast_to(Tensor([1],"float16"), list[168,], )
paddle.broadcast_to(Tensor([1],"float16"), list[300,40,], )
paddle.broadcast_to(Tensor([1],"float16"), list[6,8,9,18,], )
Expand Down
11 changes: 0 additions & 11 deletions tester/api_config/5_accuracy/accuracy_gpu_error.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -2261,11 +2261,6 @@ paddle.Tensor.fill_diagonal_tensor(Tensor([4, 3],"float64"), Tensor([3],"float64
paddle.Tensor.fill_diagonal_tensor(Tensor([5, 3],"float32"), Tensor([3],"float32"), 0, 0, 1, )
paddle.Tensor.fill_diagonal_tensor(Tensor([5, 3],"float64"), Tensor([3],"float64"), 0, 0, 1, )
paddle.Tensor.set_(Tensor([3, 8],"float16"), Tensor([6, 3],"float16"), list[3,8,], list[2,2,], 0, )
paddle.Tensor.sort(Tensor([1638400],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([3276800],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([3686400],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([6553600],"float32"), descending=True, )
paddle.Tensor.sort(Tensor([7372800],"float32"), descending=True, )
paddle.Tensor.tile(Tensor([29151, 1, 32],"float16"), list[1,100,1,], )
paddle.clip(Tensor([10, 2],"float64"), min=1e-06, )
paddle.clip(Tensor([5, 2],"float64"), min=0.0, )
Expand Down Expand Up @@ -20169,9 +20164,6 @@ paddle.scale(Tensor([2, 1, 2, 3],"float32"), scale=Tensor([],"float32"), )
paddle.scale(Tensor([2, 1, 2, 3],"float64"), scale=Tensor([],"float32"), )
paddle.scale(Tensor([2, 3, 4, 5, 6],"float32"), scale=Tensor([1],"float32"), )
paddle.scatter(Tensor([183826, 256],"float32"), Tensor([10759233],"int64"), Tensor([10759233, 256],"float32"), )
paddle.sort(Tensor([1, 30000],"float32"), descending=True, )
paddle.sort(Tensor([1, 32000],"float16"), descending=True, )
paddle.sort(Tensor([1, 50304],"float32"), descending=True, )
paddle.tensordot(Tensor([3, 4, 4],"float32"), Tensor([4, 4, 5],"float32"), list[Tensor([2],"int64"),Tensor([2],"int64"),], )
paddle.tensordot(Tensor([3, 4, 4],"float64"), Tensor([4, 4, 5],"float64"), list[Tensor([2],"int64"),Tensor([2],"int64"),], )
paddle.vision.ops.deform_conv2d(x=Tensor([20, 64, 152, 272],"float32"), offset=Tensor([20, 18, 152, 272],"float32"), weight=Tensor([64, 64, 3, 3],"float32"), bias=Tensor([64],"float32"), stride=list[1,1,], padding=list[1,1,], dilation=list[1,1,], deformable_groups=1, groups=1, mask=Tensor([20, 9, 152, 272],"float32"), )
Expand Down Expand Up @@ -20218,9 +20210,6 @@ paddle.any(Tensor([1, 0, 2],"complex64"), axis=tuple(), keepdim=True, )
paddle.any(Tensor([1, 0, 2],"float32"), axis=tuple(), keepdim=True, )
paddle.any(Tensor([1, 0, 2],"float64"), axis=tuple(), keepdim=True, )
paddle.any(Tensor([1, 0, 2],"int32"), axis=tuple(), keepdim=True, )
paddle.argsort(Tensor([1, 30000],"float32"), descending=True, )
paddle.argsort(Tensor([1, 32000],"float16"), descending=True, )
paddle.argsort(Tensor([1, 50304],"float32"), descending=True, )
paddle.linalg.cholesky_solve(Tensor([1, 30, 2],"float64"), Tensor([2, 30, 30],"float64"), upper=True, )
paddle.linalg.cholesky_solve(Tensor([20, 2],"float64"), Tensor([20, 20],"float64"), upper=True, )
paddle.linalg.cholesky_solve(x=Tensor([4, 1],"float32"), y=Tensor([4, 4],"float32"), )
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