fix tests warpctc (#27639)

python/paddle/fluid/tests/unittests/CMakeLists.txt

@@ -394,8 +394,7 @@ foreach(TEST_OP ${TEST_OPS})
     py_test_modules(${TEST_OP} MODULES ${TEST_OP})
 endforeach(TEST_OP)
 py_test_modules(test_adam_op_multi_thread MODULES test_adam_op ENVS FLAGS_inner_op_parallelism=4)
-# disable test_warpctc_op
-# py_test_modules(test_warpctc_op MODULES test_warpctc_op)
+py_test_modules(test_warpctc_op MODULES test_warpctc_op)
 py_test_modules(test_bilinear_interp_op MODULES test_bilinear_interp_op ENVS ${GC_ENVS})
 py_test_modules(test_nearest_interp_op MODULES test_nearest_interp_op ENVS ${GC_ENVS})
 py_test_modules(test_imperative_resnet MODULES test_imperative_resnet ENVS

python/paddle/fluid/tests/unittests/test_warpctc_op.py

@@ -24,6 +24,8 @@ from paddle.fluid import Program, program_guard
 import paddle
 import paddle.nn.functional as F
 
+paddle.enable_static()
+
 CUDA_BLOCK_SIZE = 32
 
 
@@ -490,8 +492,8 @@ class TestWarpCTCOpError(unittest.TestCase):
             logits = np.random.uniform(0.1, 1.0, [20, 15]).astype("float32")
             # labels should not be blank
             labels = np.random.randint(0, 15 - 1, [15, 1], dtype="int32")
-            softmax = paddle.to_variable(logits)
-            labels = paddle.to_variable(labels)
+            softmax = paddle.to_tensor(logits)
+            labels = paddle.to_tensor(labels)
 
             fluid.layers.warpctc(input=softmax, label=labels)