bool => bool_ (#49961)

python/paddle/fluid/tests/unittests/ipu/test_flip_op_ipu.py

@@ -80,8 +80,8 @@ class TestCase1(TestBase):
 class TestCase2(TestBase):
     def set_feed(self):
         data = np.random.randint(0, 2, size=[4, 3, 2, 2])
-        self.feed_fp32 = {'x': data.astype(np.bool)}
-        self.feed_fp16 = {'x': data.astype(np.bool)}
+        self.feed_fp32 = {'x': data.astype(np.bool_)}
+        self.feed_fp16 = {'x': data.astype(np.bool_)}
 
 
 if __name__ == "__main__":

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_compare_and_logical.py

@@ -46,14 +46,14 @@ class TrtConvertLogicalTest(TrtLayerAutoScanTest):
                             "op_inputs": {"X": ["input_data1"]},
                             "op_outputs": {"Out": ["cast_output_data1"]},
                             "op_attrs": dics[1],
-                            "outputs_dtype": {"cast_output_data1": np.bool},
+                            "outputs_dtype": {"cast_output_data1": np.bool_},
                         },
                         {
                             "op_type": "cast",
                             "op_inputs": {"X": ["input_data2"]},
                             "op_outputs": {"Out": ["cast_output_data3"]},
                             "op_attrs": dics[1],
-                            "outputs_dtype": {"cast_output_data3": np.bool},
+                            "outputs_dtype": {"cast_output_data3": np.bool_},
                         },
                         {
                             "op_type": op_type,

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_fill_any_like.py

@@ -36,7 +36,7 @@ class TrtConvertExpandV2Test(TrtLayerAutoScanTest):
             if self.dims == 4:
                 self.input_shape = [1, 1, 4, 6]
                 if self.dtype == 0:
-                    return np.random.random([1, 1, 4, 6]).astype(np.bool)
+                    return np.random.random([1, 1, 4, 6]).astype(np.bool_)
                 elif self.dtype == 2 or self.dtype == -1:
                     return np.random.random([1, 1, 4, 6]).astype(np.int32)
                 elif self.dtype == 3:

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_one_hot.py

@@ -59,7 +59,7 @@ class TrtConvertOneHotTest(TrtLayerAutoScanTest):
                         },
                         "op_outputs": {"Out": ["output_data"]},
                         "op_attrs": dics[0],
-                        "outputs_dtype": {"output_data": np.int},
+                        "outputs_dtype": {"output_data": np.int64},
                     },
                 ]
                 ops = self.generate_op_config(ops_config)

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_unary.py

@@ -193,7 +193,7 @@ class TrtConvertLogicalNotTest(TrtLayerAutoScanTest):
                             "op_inputs": {"X": ["input_data"]},
                             "op_outputs": {"Out": ["cast_output_data1"]},
                             "op_attrs": dics[1],
-                            "outputs_dtype": {"cast_output_data1": np.bool},
+                            "outputs_dtype": {"cast_output_data1": np.bool_},
                         },
                         {
                             "op_type": op_type,
@@ -202,7 +202,7 @@ class TrtConvertLogicalNotTest(TrtLayerAutoScanTest):
                             },
                             "op_outputs": {"Out": ["cast_output_data0"]},
                             "op_attrs": dics[0],
-                            "outputs_dtype": {"cast_output_data0": np.bool},
+                            "outputs_dtype": {"cast_output_data0": np.bool_},
                         },
                         {
                             "op_type": "cast",

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_where.py

@@ -73,7 +73,7 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
                         "op_inputs": {"X": ["condition_data"]},
                         "op_outputs": {"Out": ["condition_data_bool"]},
                         "op_attrs": {"in_dtype": 5, "out_dtype": 0},
-                        "outputs_dtype": {"condition_data_bool": np.bool},
+                        "outputs_dtype": {"condition_data_bool": np.bool_},
                     },
                     {
                         "op_type": "where",
@@ -84,7 +84,7 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
                         },
                         "op_outputs": {"Out": ["output_data"]},
                         "op_attrs": dics[0],
-                        "outputs_dtype": {"condition_data_bool": np.bool},
+                        "outputs_dtype": {"condition_data_bool": np.bool_},
                     },
                 ]
                 ops = self.generate_op_config(ops_config)

python/paddle/fluid/tests/unittests/npu/test_assign_value_op_npu.py

@@ -70,7 +70,7 @@ class TestAssignValueNPUOp3(TestAssignValueNPUOp):
 class TestAssignValueNPUOp4(TestAssignValueNPUOp):
     def init_data(self):
         self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
-            np.bool
+            np.bool_
         )
         self.attrs["bool_values"] = [int(v) for v in self.value.flat]
 
@@ -116,7 +116,7 @@ class TestAssignApi4(TestAssignApi):
     def setUp(self):
         self.init_dtype()
         self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
-            np.bool
+            np.bool_
         )
         self.place = (
             fluid.NPUPlace(0)

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

@@ -60,7 +60,7 @@ class TestAssignValueOp3(TestAssignValueOp):
 class TestAssignValueOp4(TestAssignValueOp):
     def init_data(self):
         self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
-            np.bool
+            np.bool_
         )
         self.attrs["bool_values"] = [int(v) for v in self.value.flat]
 
@@ -106,7 +106,7 @@ class TestAssignApi4(TestAssignApi):
     def setUp(self):
         self.init_dtype()
         self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
-            np.bool
+            np.bool_
         )
         self.place = (
             fluid.CUDAPlace(0)

python/paddle/fluid/tests/unittests/test_fused_multi_transformer_int8_op.py

@@ -175,7 +175,7 @@ class TestFusedMultiTransformerInt8Op(unittest.TestCase):
 
         self.x_type = np.float32
         self.attn_mask_type = np.float64
-        # self.attn_mask_type = np.bool
+        # self.attn_mask_type = np.bool_
         self.pre_layer_norm = True
         self.has_attn_mask = True
 

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

@@ -109,7 +109,7 @@ class TestFusedMultiTransformerOp(OpTest):
 
         self.x_type = np.float32
         self.attn_mask_type = np.float64
-        # self.attn_mask_type = np.bool
+        # self.attn_mask_type = np.bool_
         self.pre_layer_norm = True
         self.has_attn_mask = True
 

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

@@ -85,7 +85,7 @@ class TestUpdateLossScalingOp(OpTest):
         self.num_good_steps = np.array([999], dtype=np.int32)
         self.num_bad_steps = np.array([1], dtype=np.int32)
         self.zero_steps = np.array([0], dtype=np.int32)
-        self.stop_update = np.array([False], dtype=np.bool)
+        self.stop_update = np.array([False], dtype=np.bool_)
         self.attrs = {
             'incr_every_n_steps': 1000,
             'decr_every_n_nan_or_inf': 2,

python/paddle/fluid/tests/unittests/xpu/test_assign_value_op_xpu.py

@@ -75,7 +75,7 @@ class XPUTestAssignValueOp(XPUOpTestWrapper):
     class TestAssignValueOp4(TestAssignValueOp):
         def init_data(self):
             self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
-                np.bool
+                np.bool_
             )
             self.attrs["bool_values"] = [int(v) for v in self.value.flat]
 
@@ -117,7 +117,7 @@ class TestAssignApi4(TestAssignApi):
     def setUp(self):
         self.init_dtype()
         self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
-            np.bool
+            np.bool_
         )
         self.place = fluid.XPUPlace(0)
 

python/paddle/fluid/tests/unittests/xpu/test_bitwise_op_xpu.py

@@ -300,7 +300,7 @@ class XPUTestBitwiseNot(XPUOpTestWrapper):
             self.outputs = {'Out': out}
 
         def init_case(self):
-            self.dtype = np.bool
+            self.dtype = np.bool_
             self.x_shape = [2, 3, 4, 5]
 
 

python/paddle/fluid/tests/unittests/xpu/test_logical_op_xpu.py

@@ -47,7 +47,7 @@ class XPUTestLogicalAnd(XPUOpTestWrapper):
             self.op_type = 'logical_and'
 
             # special range for bool dtype
-            if self.dtype == np.dtype(np.bool):
+            if self.dtype == np.dtype(np.bool_):
                 self.low = 0
                 self.high = 2
 
@@ -108,7 +108,7 @@ class XPUTestLogicalOr(XPUOpTestWrapper):
             self.op_type = 'logical_or'
 
             # special range for bool dtype
-            if self.dtype == np.dtype(np.bool):
+            if self.dtype == np.dtype(np.bool_):
                 self.low = 0
                 self.high = 2
 
@@ -169,7 +169,7 @@ class XPUTestLogicalXor(XPUOpTestWrapper):
             self.op_type = 'logical_xor'
 
             # special range for bool dtype
-            if self.dtype == np.dtype(np.bool):
+            if self.dtype == np.dtype(np.bool_):
                 self.low = 0
                 self.high = 2
 
@@ -230,7 +230,7 @@ class XPUTestLogicalNot(XPUOpTestWrapper):
             self.op_type = 'logical_not'
 
             # special range for bool dtype
-            if self.dtype == np.dtype(np.bool):
+            if self.dtype == np.dtype(np.bool_):
                 self.low = 0
                 self.high = 2