chore: trt 10 fixes

Author: peri044

py/torch_tensorrt/dynamo/_compiler.py

@@ -634,7 +634,7 @@ def convert_module_to_trt_engine(
     import io
 
     with io.BytesIO() as engine_bytes:
-        engine_bytes.write(interpreter_result.engine.serialize())
+        engine_bytes.write(interpreter_result.engine)
         engine_bytearray = engine_bytes.getvalue()
 
     return engine_bytearray

py/torch_tensorrt/dynamo/conversion/_TRTInterpreter.py

@@ -172,7 +172,7 @@ def run(
 
         if version.parse(trt.__version__) >= version.parse("8.2"):
             builder_config.profiling_verbosity = (
-                trt.ProfilingVerbosity.VERBOSE
+                trt.ProfilingVerbosity.DETAILED
                 if self.compilation_settings.debug
                 else trt.ProfilingVerbosity.LAYER_NAMES_ONLY
             )

py/torch_tensorrt/dynamo/conversion/impl/elementwise/base.py

@@ -147,17 +147,6 @@ def convert_binary_elementwise(
             ctx, rhs_val, trt_promoted_type, name, target, source_ir
         )
 
-    # Check the limitation in the doc string.
-    if ctx.net.has_implicit_batch_dimension:
-        if is_lhs_trt_tensor and not is_rhs_trt_tensor:
-            assert len(lhs_val.shape) >= len(
-                rhs_val.shape
-            ), f"{lhs_val.shape} >= {rhs_val.shape}"
-        elif not is_lhs_trt_tensor and is_rhs_trt_tensor:
-            assert len(rhs_val.shape) >= len(
-                lhs_val.shape
-            ), f"{rhs_val.shape} >= {lhs_val.shape}"
-
     lhs_val, rhs_val = broadcast(
         ctx.net, lhs_val, rhs_val, f"{name}_lhs", f"{name}_rhs"
     )