fix: Remove remnants of max_num_trt_engines

- Update default `min_block_size`

Author: gs-olive

py/torch_tensorrt/dynamo/backend/_defaults.py

@@ -4,4 +4,4 @@
 PRECISION = LowerPrecision.FP32
 DEBUG = False
 MAX_WORKSPACE_SIZE = 20 << 30
-MIN_BLOCK_SIZE = 3
+MIN_BLOCK_SIZE = 5

py/torch_tensorrt/dynamo/backend/test/test_partitioning.py

@@ -36,7 +36,7 @@ def forward(self, x, y):
                 return pow_
 
         fx_graph = torch.fx.symbolic_trace(FullySupportedMultiOp())
-        partitioned_graph = partition(deepcopy(fx_graph))
+        partitioned_graph = partition(deepcopy(fx_graph), min_block_size=2)
         self.assertEquals(
             len(list(partitioned_graph.named_children())),
             1,

py/torch_tensorrt/dynamo/test/test_dynamo_backend.py

@@ -24,7 +24,6 @@ def test_resnet18(ir):
         "device": torchtrt.Device("cuda:0"),
         "enabled_precisions": {torch.float},
         "ir": ir,
-        "max_num_trt_engines": 200,
     }
 
     trt_mod = torchtrt.compile(model, **compile_spec)
@@ -55,7 +54,6 @@ def test_mobilenet_v2(ir):
         "device": torchtrt.Device("cuda:0"),
         "enabled_precisions": {torch.float},
         "ir": ir,
-        "max_num_trt_engines": 200,
     }
 
     trt_mod = torchtrt.compile(model, **compile_spec)
@@ -86,7 +84,6 @@ def test_efficientnet_b0(ir):
         "device": torchtrt.Device("cuda:0"),
         "enabled_precisions": {torch.float},
         "ir": ir,
-        "max_num_trt_engines": 200,
     }
 
     trt_mod = torchtrt.compile(model, **compile_spec)
@@ -126,7 +123,6 @@ def test_bert_base_uncased(ir):
         "enabled_precisions": {torch.float},
         "truncate_long_and_double": True,
         "ir": ir,
-        "max_num_trt_engines": 200,
     }
     trt_mod = torchtrt.compile(model, **compile_spec)