fix gather index out-of-bound error (#3066)

Author: lshpku

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/cascade_rcnn_cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco/SIR_145.py

@@ -50,7 +50,7 @@ def create_inputspec():
 def create_tensor_inputs():
     inputs = (
         paddle.rand(shape=[4, 4], dtype=paddle.float32),
-        paddle.randint(low=0, high=10, shape=[1], dtype=paddle.int32),
+        paddle.randint(low=0, high=4, shape=[1], dtype=paddle.int32),
         paddle.rand(shape=[1, 256, 176, 264], dtype=paddle.float32),
         paddle.rand(shape=[1, 256, 88, 132], dtype=paddle.float32),
         paddle.rand(shape=[1, 256, 44, 66], dtype=paddle.float32),
@@ -62,7 +62,7 @@ def create_tensor_inputs():
 def create_numpy_inputs():
     inputs = (
         np.random.random(size=[4, 4]).astype('float32'),
-        np.random.randint(low=0, high=10, size=[1], dtype='int32'),
+        np.random.randint(low=0, high=4, size=[1], dtype='int32'),
         np.random.random(size=[1, 256, 176, 264]).astype('float32'),
         np.random.random(size=[1, 256, 88, 132]).astype('float32'),
         np.random.random(size=[1, 256, 44, 66]).astype('float32'),

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/faster_rcnn_faster_rcnn_swin_tiny_fpn_2x_coco/SIR_116.py

@@ -41,7 +41,7 @@ def create_inputspec():
 
 def create_tensor_inputs():
     inputs = (
-        paddle.randint(low=0, high=10, shape=[1002], dtype=paddle.int64),
+        paddle.randint(low=0, high=2, shape=[1002], dtype=paddle.int64),
         paddle.randint(low=0, high=10, shape=[1002], dtype=paddle.int32),
         paddle.randint(low=0, high=10, shape=[2], dtype=paddle.int32),
     )
@@ -50,7 +50,7 @@ def create_tensor_inputs():
 
 def create_numpy_inputs():
     inputs = (
-        np.random.randint(low=0, high=10, size=[1002], dtype="int64"),
+        np.random.randint(low=0, high=2, size=[1002], dtype="int64"),
         np.random.randint(low=0, high=10, size=[1002], dtype="int32"),
         np.random.randint(low=0, high=10, size=[2], dtype="int32"),
     )

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/hrnet_faster_rcnn_hrnetv2p_w18_2x_coco/SIR_60.py

@@ -40,7 +40,7 @@ def create_inputspec():
 
 def create_tensor_inputs():
     inputs = (
-        paddle.randint(low=0, high=10, shape=[2002], dtype=paddle.int64),
+        paddle.randint(low=0, high=2, shape=[2002], dtype=paddle.int64),
         paddle.randint(low=0, high=10, shape=[2002], dtype=paddle.int32),
         paddle.randint(low=0, high=10, shape=[2], dtype=paddle.int32),
     )
@@ -49,7 +49,7 @@ def create_tensor_inputs():
 
 def create_numpy_inputs():
     inputs = (
-        np.random.randint(low=0, high=10, size=[2002], dtype="int64"),
+        np.random.randint(low=0, high=2, size=[2002], dtype="int64"),
         np.random.randint(low=0, high=10, size=[2002], dtype="int32"),
         np.random.randint(low=0, high=10, size=[2], dtype="int32"),
     )

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mask_rcnn_mask_rcnn_r50_fpn_2x_coco/SIR_109.py

@@ -50,7 +50,7 @@ def create_inputspec():
 def create_tensor_inputs():
     inputs = (
         paddle.rand(shape=[3, 4], dtype=paddle.float32),
-        paddle.randint(low=0, high=10, shape=[1], dtype=paddle.int32),
+        paddle.randint(low=0, high=3, shape=[1], dtype=paddle.int32),
         paddle.rand(shape=[1, 256, 168, 256], dtype=paddle.float32),
         paddle.rand(shape=[1, 256, 84, 128], dtype=paddle.float32),
         paddle.rand(shape=[1, 256, 42, 64], dtype=paddle.float32),
@@ -62,7 +62,7 @@ def create_tensor_inputs():
 def create_numpy_inputs():
     inputs = (
         np.random.random(size=[3, 4]).astype('float32'),
-        np.random.randint(low=0, high=10, size=[1], dtype='int32'),
+        np.random.randint(low=0, high=3, size=[1], dtype='int32'),
         np.random.random(size=[1, 256, 168, 256]).astype('float32'),
         np.random.random(size=[1, 256, 84, 128]).astype('float32'),
         np.random.random(size=[1, 256, 42, 64]).astype('float32'),

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_182.py

@@ -68,7 +68,7 @@ def create_inputspec():
 def create_tensor_inputs():
     inputs = (
         paddle.rand(shape=[1, 1, 4116], dtype=paddle.float32),
-        paddle.randint(low=0, high=10, shape=[1, 1], dtype=paddle.int64),
+        paddle.zeros(shape=[1, 1], dtype=paddle.int64),
         paddle.randint(low=0, high=10, shape=[1, 1, 1], dtype=paddle.int32),
         paddle.rand(shape=[1, 4116], dtype=paddle.float32),
         paddle.rand(shape=[1, 1, 4], dtype=paddle.float32),
@@ -81,7 +81,7 @@ def create_tensor_inputs():
 def create_numpy_inputs():
     inputs = (
         np.random.random(size=[1, 1, 4116]).astype("float32"),
-        np.random.randint(low=0, high=10, size=[1, 1], dtype="int64"),
+        np.zeros(shape=[1, 1], dtype="int64"),
         np.random.randint(low=0, high=10, size=[1, 1, 1], dtype="int32"),
         np.random.random(size=[1, 4116]).astype("float32"),
         np.random.random(size=[1, 1, 4]).astype("float32"),

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_179.py

@@ -67,7 +67,7 @@ def create_inputspec():
 def create_tensor_inputs():
     inputs = (
         paddle.rand(shape=[1, 1, 2100], dtype=paddle.float32),
-        paddle.randint(low=0, high=10, shape=[1, 1], dtype=paddle.int64),
+        paddle.zeros(shape=[1, 1], dtype=paddle.int64),
         paddle.randint(low=0, high=10, shape=[1, 1, 1], dtype=paddle.int32),
         paddle.rand(shape=[1, 2100], dtype=paddle.float32),
         paddle.rand(shape=[1, 1, 4], dtype=paddle.float32),
@@ -80,7 +80,7 @@ def create_tensor_inputs():
 def create_numpy_inputs():
     inputs = (
         np.random.random(size=[1, 1, 2100]).astype("float32"),
-        np.random.randint(low=0, high=10, size=[1, 1], dtype="int64"),
+        np.zeros(shape=[1, 1], dtype="int64"),
         np.random.randint(low=0, high=10, size=[1, 1, 1], dtype="int32"),
         np.random.random(size=[1, 2100]).astype("float32"),
         np.random.random(size=[1, 1, 4]).astype("float32"),

framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_174.py

@@ -67,7 +67,7 @@ def create_inputspec():
 def create_tensor_inputs():
     inputs = (
         paddle.rand(shape=[1, 2, 3549], dtype=paddle.float32),
-        paddle.randint(low=0, high=10, shape=[1, 1], dtype=paddle.int64),
+        paddle.zeros(shape=[1, 1], dtype=paddle.int64),
         paddle.randint(low=0, high=10, shape=[1, 2, 1], dtype=paddle.int32),
         paddle.rand(shape=[1, 3549], dtype=paddle.float32),
         paddle.rand(shape=[1, 2, 4], dtype=paddle.float32),
@@ -80,7 +80,7 @@ def create_tensor_inputs():
 def create_numpy_inputs():
     inputs = (
         np.random.random(size=[1, 2, 3549]).astype("float32"),
-        np.random.randint(low=0, high=10, size=[1, 1], dtype="int64"),
+        np.zeros(shape=[1, 1], dtype="int64"),
         np.random.randint(low=0, high=10, size=[1, 2, 1], dtype="int32"),
         np.random.random(size=[1, 3549]).astype("float32"),
         np.random.random(size=[1, 2, 4]).astype("float32"),