提交 2690ddb5 编写于 作者: G GaoWei8 提交者: Tao Luo

Use skip_check_grad_ci to skip grad check (#21907)

上级 20667458
...@@ -16,7 +16,7 @@ from __future__ import print_function ...@@ -16,7 +16,7 @@ from __future__ import print_function
import unittest import unittest
import numpy as np import numpy as np
from op_test import OpTest from op_test import OpTest, skip_check_grad_ci
import paddle.fluid as fluid import paddle.fluid as fluid
from paddle.fluid import compiler, Program, program_guard, core from paddle.fluid import compiler, Program, program_guard, core
...@@ -65,6 +65,8 @@ class TestConcatOp2(TestConcatOp): ...@@ -65,6 +65,8 @@ class TestConcatOp2(TestConcatOp):
self.axis = 1 self.axis = 1
@skip_check_grad_ci(
reason="The function 'check_grad' for large inputs is too slow.")
class TestConcatOp3(TestConcatOp): class TestConcatOp3(TestConcatOp):
def init_test_data(self): def init_test_data(self):
self.x0 = np.random.random((1, 256, 170, 256)).astype(self.dtype) self.x0 = np.random.random((1, 256, 170, 256)).astype(self.dtype)
...@@ -76,6 +78,9 @@ class TestConcatOp3(TestConcatOp): ...@@ -76,6 +78,9 @@ class TestConcatOp3(TestConcatOp):
pass pass
@skip_check_grad_ci(
reason="This test will meet fetch error when there is a null grad. The detailed information is in PR#17015."
)
class TestConcatOp4(TestConcatOp): class TestConcatOp4(TestConcatOp):
def init_test_data(self): def init_test_data(self):
self.x0 = np.random.random((2, 3, 4, 5)).astype(self.dtype) self.x0 = np.random.random((2, 3, 4, 5)).astype(self.dtype)
......
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