Fix

Author: co63oc

report/0size_tensor_cpu/error_config.txt

@@ -8043,10 +8043,6 @@ paddle.nn.functional.max_unpool2d(Tensor([2, 4, 11, 0],"float64"), Tensor([2, 4,
 paddle.nn.functional.max_unpool2d(Tensor([2, 4, 11, 0],"float64"), Tensor([2, 4, 11, 11],"int32"), kernel_size=4, stride=None, padding=2, data_format="NCHW", output_size=None, name=None, )
 paddle.nn.functional.max_unpool2d(Tensor([2, 4, 21, 0],"float32"), Tensor([2, 4, 21, 0],"int32"), kernel_size=4, stride=2, padding=2, data_format="NCHW", output_size=None, name=None, )
 paddle.nn.functional.max_unpool2d(Tensor([2, 4, 21, 0],"float32"), Tensor([2, 4, 21, 21],"int32"), kernel_size=4, stride=2, padding=2, data_format="NCHW", output_size=None, name=None, )
-paddle.nn.functional.multi_margin_loss(Tensor([5, 0],"float64"), Tensor([5],"int64"), p=1, margin=1.0, weight=Tensor([2],"float64"), reduction="mean", name=None, )
-paddle.nn.functional.multi_margin_loss(Tensor([5, 0],"float64"), Tensor([5],"int64"), p=2, margin=1.0, weight=None, reduction="mean", name=None, )
-paddle.nn.functional.multi_margin_loss(input=Tensor([5, 0],"float64"), label=Tensor([5],"int64"), p=1, margin=1.0, weight=Tensor([2],"float64"), reduction="mean", )
-paddle.nn.functional.multi_margin_loss(input=Tensor([5, 0],"float64"), label=Tensor([5],"int64"), p=2, margin=1.0, weight=None, reduction="mean", )
 paddle.nn.functional.nll_loss(Tensor([10, 0],"float64"), Tensor([10],"int64"), weight=None, ignore_index=-100, reduction="mean", name=None, )
 paddle.nn.functional.nll_loss(Tensor([10, 0],"float64"), Tensor([10],"int64"), weight=None, ignore_index=-100, reduction="sum", name=None, )
 paddle.nn.functional.nll_loss(Tensor([10, 0],"float64"), Tensor([10],"int64"), weight=Tensor([10],"float64"), ignore_index=-100, reduction="mean", name=None, )

report/0size_tensor_gpu/error_config.txt

@@ -11530,10 +11530,6 @@ paddle.nn.functional.mse_loss(Tensor([8, 32, 0, 256],"float16"), Tensor([8, 32,
 paddle.nn.functional.mse_loss(Tensor([8, 32, 256, 0],"float16"), Tensor([8, 32, 256, 0],"float16"), reduction="sum", )
 paddle.nn.functional.mse_loss(Tensor([8, 64, 0, 128],"float16"), Tensor([8, 64, 0, 128],"float16"), reduction="sum", )
 paddle.nn.functional.mse_loss(Tensor([8, 64, 128, 0],"float16"), Tensor([8, 64, 128, 0],"float16"), reduction="sum", )
-paddle.nn.functional.multi_margin_loss(Tensor([5, 0],"float64"), Tensor([5],"int64"), p=1, margin=1.0, weight=Tensor([2],"float64"), reduction="mean", name=None, )
-paddle.nn.functional.multi_margin_loss(Tensor([5, 0],"float64"), Tensor([5],"int64"), p=2, margin=1.0, weight=None, reduction="mean", name=None, )
-paddle.nn.functional.multi_margin_loss(input=Tensor([5, 0],"float64"), label=Tensor([5],"int64"), p=1, margin=1.0, weight=Tensor([2],"float64"), reduction="mean", )
-paddle.nn.functional.multi_margin_loss(input=Tensor([5, 0],"float64"), label=Tensor([5],"int64"), p=2, margin=1.0, weight=None, reduction="mean", )
 paddle.nn.functional.nll_loss(Tensor([10, 0],"float64"), Tensor([10],"int64"), weight=None, ignore_index=-100, reduction="mean", name=None, )
 paddle.nn.functional.nll_loss(Tensor([10, 0],"float64"), Tensor([10],"int64"), weight=None, ignore_index=-100, reduction="sum", name=None, )
 paddle.nn.functional.nll_loss(Tensor([10, 0],"float64"), Tensor([10],"int64"), weight=Tensor([10],"float64"), ignore_index=-100, reduction="mean", name=None, )