paddle.Tensor.tril(Tensor([0, 2, 2],"float32"), -1, )
paddle.Tensor.tril(Tensor([0, 2],"float32"), -1, )
paddle.Tensor.tril(Tensor([1, 0, 2],"float32"), -1, )
paddle.Tensor.tril(Tensor([1, 2, 0],"float32"), -1, )
paddle.Tensor.tril(Tensor([2, 0, 2],"float32"), -1, )
paddle.Tensor.tril(Tensor([2, 0],"float32"), -1, )
paddle.Tensor.tril(Tensor([2, 2, 0],"float32"), -1, )
paddle.tril(Tensor([0, 1, 1, 1],"float32"), )
paddle.tril(Tensor([0, 1, 1024, 1024],"int64"), )
paddle.tril(Tensor([0, 10, 10],"int32"), )
paddle.tril(Tensor([0, 1007],"bool"), )
paddle.tril(Tensor([0, 10],"bool"), )
paddle.tril(Tensor([0, 10],"float32"), diagonal=0, )
paddle.tril(Tensor([0, 1],"float32"), diagonal=0, )
paddle.tril(Tensor([0, 20, 1],"float32"), 0, )
paddle.tril(Tensor([0, 20, 20],"float32"), )
paddle.tril(Tensor([1, 0, 1, 1],"float32"), )
paddle.tril(Tensor([1, 0, 1024, 1024],"int64"), )
paddle.tril(Tensor([1, 0, 20],"float32"), )
paddle.tril(Tensor([1, 0],"float32"), diagonal=0, )
paddle.tril(Tensor([1, 1, 0, 1024],"int64"), )
paddle.tril(Tensor([1, 1, 0, 1],"float32"), )
paddle.tril(Tensor([1, 1, 1, 0],"float32"), )
paddle.tril(Tensor([1, 1, 1024, 0],"int64"), )
paddle.tril(Tensor([1, 20, 0],"float32"), )
paddle.tril(Tensor([10, 0, 1],"float32"), 0, )
paddle.tril(Tensor([10, 0],"bool"), )
paddle.tril(Tensor([10, 0],"float32"), diagonal=0, )
paddle.tril(Tensor([10, 20, 0],"float32"), 0, )
paddle.tril(Tensor([1007, 0],"bool"), )
paddle.tril(Tensor([2, 0, 10],"int32"), )
paddle.tril(Tensor([2, 10, 0],"int32"), )
paddle.tril(x=Tensor([0, 2, 2],"float32"), diagonal=0, )
paddle.tril(x=Tensor([0, 2, 2],"float64"), diagonal=-1, )
paddle.tril(x=Tensor([0, 2, 2],"float64"), diagonal=-5, )
paddle.tril(x=Tensor([0, 2, 2],"float64"), diagonal=0, )
paddle.tril(x=Tensor([0, 2, 2],"float64"), diagonal=1, )
paddle.tril(x=Tensor([0, 2, 2],"float64"), diagonal=5, )
paddle.tril(x=Tensor([3, 0, 2],"float32"), diagonal=0, )
paddle.tril(x=Tensor([3, 0, 2],"float64"), diagonal=-1, )
paddle.tril(x=Tensor([3, 0, 2],"float64"), diagonal=-5, )
paddle.tril(x=Tensor([3, 0, 2],"float64"), diagonal=0, )
paddle.tril(x=Tensor([3, 0, 2],"float64"), diagonal=1, )
paddle.tril(x=Tensor([3, 0, 2],"float64"), diagonal=5, )
paddle.tril(x=Tensor([3, 2, 0],"float32"), diagonal=0, )
paddle.tril(x=Tensor([3, 2, 0],"float64"), diagonal=-1, )
paddle.tril(x=Tensor([3, 2, 0],"float64"), diagonal=-5, )
paddle.tril(x=Tensor([3, 2, 0],"float64"), diagonal=0, )
paddle.tril(x=Tensor([3, 2, 0],"float64"), diagonal=1, )
paddle.tril(x=Tensor([3, 2, 0],"float64"), diagonal=5, )
paddle.triu(Tensor([0, 1, 1, 10],"float16"), diagonal=1, )
paddle.triu(Tensor([0, 1, 1, 1],"float32"), diagonal=1, )
paddle.triu(Tensor([0, 1, 10, 16],"float32"), )
paddle.triu(Tensor([0, 1, 2048, 2048],"float16"), )
paddle.triu(Tensor([0, 128],"float32"), 1, )
paddle.triu(Tensor([0, 128],"float32"), diagonal=0, )
paddle.triu(Tensor([0, 16],"float32"), diagonal=1, )
paddle.triu(Tensor([0, 20, 1],"float32"), 0, )
paddle.triu(Tensor([0, 7, 7],"float32"), diagonal=1, )
paddle.triu(Tensor([0, 7],"float32"), 1, )
paddle.triu(Tensor([0, 7],"float32"), diagonal=1, )
paddle.triu(Tensor([1, 0, 1, 10],"float16"), diagonal=1, )
paddle.triu(Tensor([1, 0, 1, 1],"float32"), diagonal=1, )
paddle.triu(Tensor([1, 0, 10, 16],"float32"), )
paddle.triu(Tensor([1, 0, 2048, 2048],"float16"), )
paddle.triu(Tensor([1, 1, 0, 10],"float16"), diagonal=1, )
paddle.triu(Tensor([1, 1, 0, 16],"float32"), )
paddle.triu(Tensor([1, 1, 0, 1],"float32"), diagonal=1, )
paddle.triu(Tensor([1, 1, 0, 2048],"float16"), )
paddle.triu(Tensor([1, 1, 1, 0],"float16"), diagonal=1, )
paddle.triu(Tensor([1, 1, 1, 0],"float32"), diagonal=1, )
paddle.triu(Tensor([1, 1, 10, 0],"float32"), )
paddle.triu(Tensor([1, 1, 2048, 0],"float16"), )
paddle.triu(Tensor([10, 0, 1],"float32"), 0, )
paddle.triu(Tensor([10, 20, 0],"float32"), 0, )
paddle.triu(Tensor([11, 0],"float32"), diagonal=1, )
paddle.triu(Tensor([12, 0, 7],"float32"), diagonal=1, )
paddle.triu(Tensor([12, 7, 0],"float32"), diagonal=1, )
paddle.triu(Tensor([128, 0],"float32"), 1, )
paddle.triu(Tensor([128, 0],"float32"), diagonal=0, )
paddle.triu(Tensor([7, 0],"float32"), 1, )
paddle.triu(x=Tensor([0, 2, 2],"float32"), diagonal=0, )
paddle.triu(x=Tensor([0, 2, 2],"float64"), diagonal=-1, )
paddle.triu(x=Tensor([0, 2, 2],"float64"), diagonal=-5, )
paddle.triu(x=Tensor([0, 2, 2],"float64"), diagonal=0, )
paddle.triu(x=Tensor([0, 2, 2],"float64"), diagonal=1, )
paddle.triu(x=Tensor([0, 2, 2],"float64"), diagonal=5, )
paddle.triu(x=Tensor([3, 0, 2],"float32"), diagonal=0, )
paddle.triu(x=Tensor([3, 0, 2],"float64"), diagonal=-1, )
paddle.triu(x=Tensor([3, 0, 2],"float64"), diagonal=-5, )
paddle.triu(x=Tensor([3, 0, 2],"float64"), diagonal=0, )
paddle.triu(x=Tensor([3, 0, 2],"float64"), diagonal=1, )
paddle.triu(x=Tensor([3, 0, 2],"float64"), diagonal=5, )
paddle.triu(x=Tensor([3, 2, 0],"float32"), diagonal=0, )
paddle.triu(x=Tensor([3, 2, 0],"float64"), diagonal=-1, )
paddle.triu(x=Tensor([3, 2, 0],"float64"), diagonal=-5, )
paddle.triu(x=Tensor([3, 2, 0],"float64"), diagonal=0, )
paddle.triu(x=Tensor([3, 2, 0],"float64"), diagonal=1, )
paddle.triu(x=Tensor([3, 2, 0],"float64"), diagonal=5, )