create_inference_config modify use_mkldnn [fluid_ops]

test/ir/inference/inference_pass_test.py

@@ -37,7 +37,7 @@ def __init__(self, methodName='runTest'):
         self.feeds = None
         self.fetch_list = None
 
-        self.enable_mkldnn = False
+        self.enable_onednn = False
         self.enable_onednn_bfloat16 = False
         self.enable_trt = False
         self.enable_tensorrt_varseqlen = False
@@ -130,7 +130,7 @@ def _get_inference_outs(self, config):
         return outs
 
     def _get_analysis_config(
-        self, use_gpu=False, use_trt=False, use_mkldnn=False
+        self, use_gpu=False, use_trt=False, use_onednn=False
     ):
         '''
         Return a new object of AnalysisConfig.
@@ -178,7 +178,7 @@ def _get_analysis_config(
                 if self.enable_tensorrt_varseqlen:
                     config.enable_tensorrt_varseqlen()
 
-        elif use_mkldnn:
+        elif use_onednn:
             config.enable_onednn()
             if self.enable_onednn_bfloat16:
                 config.enable_onednn_bfloat16()
@@ -286,10 +286,10 @@ def check_output_with_option(
                 )
 
         # Check whether the onednn results and the CPU results are the same.
-        if (not use_gpu) and self.enable_mkldnn:
+        if (not use_gpu) and self.enable_onednn:
             onednn_outputs = self._get_inference_outs(
                 self._get_analysis_config(
-                    use_gpu=use_gpu, use_mkldnn=self.enable_mkldnn
+                    use_gpu=use_gpu, use_onednn=self.enable_onednn
                 )
             )
 

test/ir/inference/quant_dequant_test.py

@@ -46,7 +46,7 @@ def __init__(self, methodName='runTest'):
         self.test_startup_program = paddle.static.Program()
         self.feeds = None
         self.fetch_list = None
-        self.enable_mkldnn = False
+        self.enable_onednn = False
         self.enable_onednn_bfloat16 = False
         self.enable_trt = False
         self.enable_tensorrt_varseqlen = True
@@ -190,7 +190,7 @@ def _get_inference_outs(self, config):
         return outs
 
     def _get_analysis_config(
-        self, use_gpu=False, use_trt=False, use_mkldnn=False
+        self, use_gpu=False, use_trt=False, use_onednn=False
     ):
         '''
         Return a new object of AnalysisConfig.
@@ -230,7 +230,7 @@ def _get_analysis_config(
                 if self.enable_tensorrt_varseqlen:
                     config.enable_tensorrt_varseqlen()
 
-        elif use_mkldnn:
+        elif use_onednn:
             config.enable_onednn()
             if self.enable_onednn_bfloat16:
                 config.enable_onednn_bfloat16()
@@ -388,10 +388,10 @@ def check_output_with_option(
                 )
 
         # Check whether the onednn results and the CPU results are the same.
-        if (not use_gpu) and self.enable_mkldnn:
+        if (not use_gpu) and self.enable_onednn:
             onednn_outputs = self._get_inference_outs(
                 self._get_analysis_config(
-                    use_gpu=use_gpu, use_mkldnn=self.enable_mkldnn
+                    use_gpu=use_gpu, use_onednn=self.enable_onednn
                 )
             )
 

test/ir/inference/test_conv_act_onednn_fuse_pass.py

@@ -207,7 +207,7 @@ def sample_program_config(self, draw):
             groups=groups,
             dilations=dilations,
             data_format=data_format,
-            use_mkldnn=True,
+            use_onednn=True,
         )
 
         ops = [conv2d_op, act_op]

test/ir/inference/test_conv_bn_fuse_pass.py

@@ -108,7 +108,7 @@ def generate_bn_Var():
             groups=groups,
             paddings=paddings,
             strides=strides,
-            use_mkldnn=use_onednn,
+            use_onednn=use_onednn,
             has_bias=False,
             is_test=True,
         )
@@ -158,7 +158,7 @@ def generate_bn_Var():
 
     def sample_predictor_configs(self, program_config):
         # for onednn
-        if program_config.ops[0].attrs['use_mkldnn']:
+        if program_config.ops[0].attrs['use_onednn']:
             config = self.create_inference_config(use_onednn=True)
             yield config, ['fused_conv2d'], (1e-5, 1e-5)
         else:

test/ir/inference/test_conv_transpose_bn_fuse_pass.py

@@ -67,7 +67,7 @@ def sample_program_config(self, draw):
             st.sampled_from(["EXPLICIT", "SAME", "VALID"])
         )
         random_data_layout = draw(st.sampled_from(["NCHW", "NHWC"]))
-        random_use_mkldnn = draw(st.booleans())
+        random_use_onednn = draw(st.booleans())
         random_output_size = []
         random_filter = draw(
             st.lists(
@@ -133,7 +133,7 @@ def generate_batch_norm_Variance():
                 'data_format': random_data_layout,
                 'output_size': random_output_size,
                 'output_padding': random_output_size,
-                'use_mkldnn': random_use_mkldnn,
+                'use_mkldnn': random_use_onednn,
                 'is_test': True,
             },
         )
@@ -160,7 +160,7 @@ def generate_batch_norm_Variance():
                 'is_test': True,
                 'trainable_statistics': False,
                 'data_layout': random_data_layout,
-                'use_mkldnn': random_use_mkldnn,
+                'use_mkldnn': random_use_onednn,
             },
         )
 

test/ir/inference/test_conv_transpose_eltwiseadd_bn_fuse_pass.py

@@ -71,7 +71,7 @@ def sample_program_config(self, draw):
             st.sampled_from(["EXPLICIT", "SAME", "VALID"])
         )
         random_data_layout = draw(st.sampled_from(["NCHW", "NHWC"]))
-        random_use_mkldnn = draw(st.booleans())
+        random_use_onednn = draw(st.booleans())
         random_output_size = []
         random_filter = draw(
             st.lists(
@@ -141,7 +141,7 @@ def generate_batch_norm_Variance():
                 'data_format': random_data_layout,
                 'output_size': random_output_size,
                 'output_padding': random_output_size,
-                'use_mkldnn': random_use_mkldnn,
+                'use_mkldnn': random_use_onednn,
                 'is_test': True,
             },
         )
@@ -182,7 +182,7 @@ def generate_batch_norm_Variance():
                 'is_test': True,
                 'trainable_statistics': False,
                 'data_layout': random_data_layout,
-                'use_mkldnn': random_use_mkldnn,
+                'use_mkldnn': random_use_onednn,
             },
         )
 

test/ir/inference/test_fc_elementwise_layernorm_fuse_pass.py

@@ -99,7 +99,7 @@ def sample_program_config(self, draw):
             padding_weights=False,
             activation_type="",
             use_quantizer=False,
-            use_mkldnn=False,
+            use_onednn=False,
         )
         add_op = OpConfig(
             "elementwise_add",

test/ir/inference/test_mkldnn_int8_scale_calculation_pass.py

@@ -123,7 +123,7 @@ def sample_program_config(self, draw):
         bias_shape = [f_shape[0]]
         inputs = {}
         weights = {}
-        use_mkldnn = True
+        use_onednn = True
 
         has_bias = draw(st.booleans())
         if has_bias:
@@ -154,7 +154,7 @@ def sample_program_config(self, draw):
             groups=groups,
             dilations=dilations,
             data_format=data_format,
-            use_mkldnn=use_mkldnn,
+            use_onednn=use_onednn,
             mkldnn_data_type="int8",
         )
 

test/ir/inference/test_mkldnn_matmul_activation_fuse_pass.py

@@ -140,7 +140,7 @@ def generate_input(type):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 'matmul_activation_onednn_fuse_pass',
                 'operator_scale_onednn_fuse_pass',

test/ir/inference/test_mkldnn_matmul_elementwise_add_activation_fuse_pass.py

@@ -131,7 +131,7 @@ def generate_input():
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 'matmul_elementwise_add_onednn_fuse_pass',
                 'matmul_activation_onednn_fuse_pass',

test/ir/inference/test_mkldnn_matmul_elementwise_add_fuse_pass.py

@@ -74,7 +74,7 @@ def generate_input():
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True, passes=['matmul_elementwise_add_onednn_fuse_pass']
+            use_onednn=True, passes=['matmul_elementwise_add_onednn_fuse_pass']
         )
         yield config, ['fused_matmul'], (1e-5, 1e-5)
 
@@ -137,7 +137,7 @@ def generate_input():
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True, passes=['matmul_elementwise_add_onednn_fuse_pass']
+            use_onednn=True, passes=['matmul_elementwise_add_onednn_fuse_pass']
         )
         yield config, ['fused_matmul'], (1e-5, 1e-5)
 
@@ -203,7 +203,7 @@ def generate_input_redisual():
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True, passes=['matmul_elementwise_add_onednn_fuse_pass']
+            use_onednn=True, passes=['matmul_elementwise_add_onednn_fuse_pass']
         )
         yield config, ['fused_matmul'], (1e-5, 1e-5)
 

test/ir/inference/test_mkldnn_matmul_v2_activation_fuse_pass.py

@@ -144,7 +144,7 @@ def generate_input(type):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 'matmul_activation_onednn_fuse_pass',
                 'operator_scale_onednn_fuse_pass',

test/ir/inference/test_mkldnn_scale_matmul_fuse_pass.py

@@ -137,7 +137,7 @@ def generate_input(attrs, type):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True, passes=['scale_matmul_fuse_pass']
+            use_onednn=True, passes=['scale_matmul_fuse_pass']
         )
         yield config, ['matmul'], (1e-5, 1e-5)
 

test/ir/inference/test_onednn_conv_bias_fuse_pass.py

@@ -130,7 +130,7 @@ def sample_program_config(self, draw):
         conv_bias_shape = []
         inputs = {}
         weights = {}
-        use_mkldnn = None
+        use_onednn = None
         conv_type = 'conv2d'
         if draw(st.booleans()):
             conv_bias_shape = [f_shape[0]]
@@ -145,7 +145,7 @@ def sample_program_config(self, draw):
                 'bias': TensorConfig(shape=bias_shape),
                 'conv_bias': TensorConfig(shape=conv_bias_shape),
             }
-            use_mkldnn = True
+            use_onednn = True
         else:
             inputs = {
                 'Input': ['input_x'],
@@ -155,7 +155,7 @@ def sample_program_config(self, draw):
                 'filter': TensorConfig(shape=f_shape),
                 'bias': TensorConfig(shape=bias_shape),
             }
-            use_mkldnn = False
+            use_onednn = False
 
         conv2d_op = OpConfig(
             conv_type,
@@ -167,7 +167,7 @@ def sample_program_config(self, draw):
             groups=groups,
             dilations=dilations,
             data_format=data_format,
-            use_mkldnn=use_mkldnn,
+            use_onednn=use_onednn,
         )
 
         add_op = OpConfig(

test/ir/inference/test_onednn_conv_bn_fuse_pass.py

@@ -23,7 +23,7 @@
 
 class TestOneDNNConvBnFusePass(PassAutoScanTest):
     def sample_program_config(self, draw):
-        use_mkldnn = True
+        use_onednn = True
         padding_algorithm = draw(st.sampled_from(["EXPLICIT", "SAME", "VALID"]))
         groups = draw(st.integers(min_value=1, max_value=3))
         data_format = draw(st.sampled_from(["NCHW", "NHWC"]))
@@ -78,7 +78,7 @@ def generate_data(shape):
             groups=groups,
             paddings=paddings,
             strides=strides,
-            use_mkldnn=use_mkldnn,
+            use_onednn=use_onednn,
             has_bias=False,
             is_test=True,
         )

test/ir/inference/test_onednn_elementwise_add_activation_fuse_pass.py

@@ -116,7 +116,7 @@ def generate_input():
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 'elementwise_act_onednn_fuse_pass',
                 'operator_scale_onednn_fuse_pass',

test/ir/inference/test_onednn_fc_activation_fuse_pass.py

@@ -134,7 +134,7 @@ def generate_input(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 "fc_act_onednn_fuse_pass",
                 "operator_scale_onednn_fuse_pass",

test/ir/inference/test_onednn_fc_gru_fuse_pass.py

@@ -103,7 +103,7 @@ def generate_input(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 'onednn_placement_pass',
                 'fc_gru_fuse_pass',

test/ir/inference/test_onednn_fc_lstm_fuse_pass.py

@@ -107,7 +107,7 @@ def generate_data(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 'onednn_placement_pass',
                 'fc_lstm_fuse_pass',

test/ir/inference/test_onednn_multi_gru_fuse_pass.py

@@ -121,7 +121,7 @@ def generate_bias(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=['multi_gru_fuse_pass'],
         )
         yield config, ['multi_gru'], (1e-5, 1e-5)

test/ir/inference/test_onednn_multi_gru_seq_fuse_pass.py

@@ -196,7 +196,7 @@ def generate_bias(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=['multi_gru_fuse_pass', 'multi_gru_seq_fuse_pass'],
         )
         yield config, ['multi_gru'], (1e-5, 1e-5)

test/ir/inference/test_onednn_operator_reshape2_fuse_pass.py

@@ -75,7 +75,7 @@ def generate_input(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 "operator_reshape2_onednn_fuse_pass",
             ],

test/ir/inference/test_onednn_operator_unsqueeze2_fuse_pass.py

@@ -73,7 +73,7 @@ def generate_input(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 "operator_unsqueeze2_onednn_fuse_pass",
             ],
@@ -138,7 +138,7 @@ def generate_input(shape):
 
     def sample_predictor_configs(self, program_config):
         config = self.create_inference_config(
-            use_mkldnn=True,
+            use_onednn=True,
             passes=[
                 "operator_unsqueeze2_onednn_fuse_pass",
             ],