【Paddle-TensorRT】fix pd_op.fused_conv2d_add_act (#72157)

* support fp32

* fix pd_op.fused_conv2d

* simplified code

---------

Co-authored-by: YuanRisheng <yuanrisheng@baidu.com>

Author: lizexu123

python/paddle/tensorrt/converter.py

@@ -652,6 +652,9 @@ def convert_program_to_trt(self):
                         tensor_data, dtype=out_dtype
                     ).tolist()
 
+                    if isinstance(constant_array, (int, float)):
+                        constant_array = [constant_array]
+
                     # convert builtin.constant to pd_op.full_int_array/full and then delete it
                     with paddle.pir.core.program_guard(self.program):
                         paddle.base.libpaddle.pir.reset_insertion_point_to_start()

python/paddle/tensorrt/converter_utils.py

@@ -669,16 +669,38 @@ def convert_conv2d(network, paddle_op, inputs):
     if paddle_op.name() == "pd_op.fused_conv2d_add_act":
         constant_manager = TensorRTConstantManager()
         bias_source_op = paddle_op.operands()[2].source().get_defining_op()
-        if bias_source_op.name() == "builtin.parameter":
-            bias_name = bias_source_op.attrs()['parameter_name']
-        elif bias_source_op.name() == "builtin.constant":
-            bias_np = bias_source_op.attrs()['value']
+
+        def get_bias_weights(current_op):
+            if current_op.name() == "builtin.parameter":
+                bias_name = current_op.attrs()["parameter_name"]
+            elif current_op.name() == "builtin.constant":
+                bias_name = current_op.attrs()["value"]
+            else:
+                raise ValueError(
+                    f"Unsupported bias source operation: {current_op.name()}"
+                )
+
+            bias_np = constant_manager.get_constant_value(bias_name)
+            return trt.Weights(bias_np)
+
+        if bias_source_op.name() in ["builtin.parameter", "builtin.constant"]:
+            bias_weights = get_bias_weights(bias_source_op)
         else:
-            raise ValueError(
-                f"Unsupported bias source op: {bias_source_op.name()}"
-            )
-        bias_np = constant_manager.get_constant_value(bias_name)
-        bias_weights = trt.Weights(bias_np)
+            while bias_source_op.name() == "pd_op.reshape":
+                bias_source_op = (
+                    bias_source_op.operands()[0].source().get_defining_op()
+                )
+                if bias_source_op.name() in [
+                    "builtin.parameter",
+                    "builtin.constant",
+                ]:
+                    bias_weights = get_bias_weights(bias_source_op)
+                    break
+            else:
+                raise ValueError(
+                    f"Unsupported bias source operation: {bias_source_op.name()}"
+                )
+
         layer = network.add_convolution_nd(
             input=input_tensor,
             num_output_maps=n_output,