pir support fused_conv3d (PaddlePaddle#61160)

paddle/fluid/pir/dialect/operator/ir/onednn.yaml

@@ -18,6 +18,16 @@
     data_type : input
   optional : bias, residual_param
 
+- op : fused_conv3d
+  args : (Tensor input, Tensor filter, Tensor bias, Tensor residual_param, int[] strides={1, 1}, int[] paddings={0, 0}, str padding_algorithm="EXPLICIT", int[] dilations={1, 1}, int groups=1, str data_format="NCHW", str mkldnn_data_type="float32", str fuse_activation="", bool fuse_residual_connection=false, bool force_fp32_output=false)
+  output : Tensor(output)
+  infer_meta :
+    func : FusedConvInferMeta
+  kernel :
+    func : fused_conv3d
+    data_type : input
+  optional : bias, residual_param
+
 - op : quantize
   args : (Tensor input, bool is_negative_input=false, float scale=1.0, float shift=0.0, str output_format="NHWC", bool bfloat16=false)
   output : Tensor(output)

paddle/fluid/pir/dialect/operator/ir/ops_onednn_extra.yaml

@@ -31,6 +31,10 @@
   extra_args : float fuse_alpha = 0.0, float fuse_beta = 0.0, float scale_in=1.0, float scale_out=1.0, float scale_in_eltwise=1.0, float[] scale_weights={1.0f}
   data_format_tensors : input
 
+- op : fused_conv3d
+  extra_args : float fuse_alpha = 0.0, float fuse_beta = 0.0, float scale_in=1.0, float scale_out=1.0, float scale_in_eltwise=1.0, float[] scale_weights={1.0f}
+  data_format_tensors : input
+
 - op : lrn
   extra_args : bool is_test=false
   data_format_tensors : x

paddle/phi/api/yaml/op_compat.yaml

@@ -1336,8 +1336,15 @@
     fused_conv2d_add_act : GetConvExpectedKernelType
 
 - op : fused_conv3d
+  inputs :
+    {input : Input, filter : Filter, bias : Bias, residual_param : ResidualData}
+  outputs :
+    {output : Output}
+  attrs :
+    {scale_in : Scale_in, scale_out : Scale_out, scale_in_eltwise : Scale_in_eltwise, scale_weights : Scale_weights}
   extra :
-    attrs : [bool use_mkldnn = true, str mkldnn_data_type = "float32"]
+    attrs : [bool use_cudnn = false, float fuse_alpha = 0.0f, float fuse_beta = 0.0f, float Scale_in = 1.0f,
+             float Scale_out = 1.0f, float Scale_in_eltwise = 1.0f, 'float[] Scale_weights = {1.0f}', bool use_mkldnn = true, str mkldnn_data_type = "float32"]
 
 - op : fused_embedding_eltwise_layernorm
   inputs :