diff --git a/graph_net/config/fusible_eval_622_subgraphs.txt b/graph_net/config/fusible_eval_622_subgraphs.txt
new file mode 100644
index 000000000..4281d6409
--- /dev/null
+++ b/graph_net/config/fusible_eval_622_subgraphs.txt
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+graphs/hf_subgraphs/fusible_subgraphs/2/samples/transformers-auto-model/OFA-Sys_chinese-clip-vit-huge-patch14/_decomposed/OFA-Sys_chinese-clip-vit-huge-patch14_start1004_end1008_18
+graphs/hf_subgraphs/fusible_subgraphs/0/samples/transformers-auto-model/AI-Nordics_bert-large-swedish-cased/_decomposed/AI-Nordics_bert-large-swedish-cased_start1_end5_0
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/AI-Nordics_bert-large-swedish-cased/_decomposed/AI-Nordics_bert-large-swedish-cased_start1_end5_0
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/transformers-auto-model/AI-Nordics_bert-large-swedish-cased/_decomposed/AI-Nordics_bert-large-swedish-cased_start1_end5_0
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+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/jhu-clsp_ettin-decoder-150m/_decomposed/jhu-clsp_ettin-decoder-150m_start3_end6_1
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/transformers-auto-model/jhu-clsp_ettin-decoder-150m/_decomposed/jhu-clsp_ettin-decoder-150m_start3_end6_1
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/transformers-auto-model/bge-base-en-v1.5/_decomposed/bge-base-en-v1.5_start285_end287_5
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/bge-base-en-v1.5/_decomposed/bge-base-en-v1.5_start285_end287_5
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/mooncakex_img2/_decomposed/mooncakex_img2_start298_end302_1
+graphs/hf_subgraphs/fusible_subgraphs/0/samples/timm/hgnetv2_b5.ssld_stage1_in22k_in1k/_decomposed/hgnetv2_b5.ssld_stage1_in22k_in1k_start363_end366_2
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/timm/hgnetv2_b5.ssld_stage1_in22k_in1k/_decomposed/hgnetv2_b5.ssld_stage1_in22k_in1k_start363_end366_2
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/mmpose/pose_resnest_101/_decomposed/pose_resnest_101_start105_end112_8
+graphs/hf_subgraphs/fusible_subgraphs/0/samples/mmpose/pose_resnest_101/_decomposed/pose_resnest_101_start105_end112_8
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+graphs/hf_subgraphs/fusible_subgraphs/7/samples/mmpose/ipr_resnet_50/_decomposed/ipr_resnet_50_start184_end193_5
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/mmpose/ipr_resnet_50/_decomposed/ipr_resnet_50_start184_end193_5
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/microsoft_trocr-small-printed/_decomposed/microsoft_trocr-small-printed_start349_end355_9
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/trocr-base-handwritten/_decomposed/trocr-base-handwritten_start348_end354_17
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+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/InstaDeepAI_nucleotide-transformer-500m-human-ref/_decomposed/InstaDeepAI_nucleotide-transformer-500m-human-ref_start40_end42_7
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+graphs/hf_subgraphs/fusible_subgraphs/0/samples/transformers-auto-model/InstaDeepAI_nucleotide-transformer-500m-human-ref/_decomposed/InstaDeepAI_nucleotide-transformer-500m-human-ref_start40_end42_7
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/transformers-auto-model/InstaDeepAI_nucleotide-transformer-500m-human-ref/_decomposed/InstaDeepAI_nucleotide-transformer-500m-human-ref_start40_end42_7
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+graphs/hf_subgraphs/fusible_subgraphs/3/samples/timm/mobileone_s4.apple_in1k/_decomposed/mobileone_s4.apple_in1k_start228_end231_3
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/timm/repvgg_d2se.rvgg_in1k/_decomposed/repvgg_d2se.rvgg_in1k_start113_end116_8
+graphs/hf_subgraphs/fusible_subgraphs/0/samples/transformers-auto-model/jinaai_jina-reranker-m0/_decomposed/jinaai_jina-reranker-m0_start0_end2_0
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/transformers-auto-model/jinaai_jina-reranker-m0/_decomposed/jinaai_jina-reranker-m0_start0_end2_0
+graphs/hf_subgraphs/fusible_subgraphs/5/samples/transformers-auto-model/jinaai_jina-reranker-m0/_decomposed/jinaai_jina-reranker-m0_start0_end2_0
+graphs/hf_subgraphs/fusible_subgraphs/0/samples/mmseg/DNLNet_R101/_decomposed/DNLNet_R101_start357_end360_2
+graphs/hf_subgraphs/fusible_subgraphs/7/samples/mmseg/DNLNet_R101/_decomposed/DNLNet_R101_start357_end360_2
diff --git a/graph_net_bench/torch/backend/tilelang_backend.py b/graph_net_bench/torch/backend/tilelang_backend.py
new file mode 100644
index 000000000..d19e30e64
--- /dev/null
+++ b/graph_net_bench/torch/backend/tilelang_backend.py
@@ -0,0 +1,57 @@
+import torch
+import inspect
+from .graph_compiler_backend import GraphCompilerBackend
+
+try:
+    from tilelang import compile as tilelang_compile
+except ImportError:
+    tilelang_compile = None
+
+
+class TilelangCompiledModule(torch.nn.Module):
+    def __init__(self, module, cuda_graph=False, native=False):
+        super().__init__()
+        self.module = module
+        self.cuda_graph = cuda_graph
+        self.native = native
+        self.runner = None
+        self.param_names = list(inspect.signature(module.forward).parameters.keys())
+
+    def forward(self, **kwargs):
+        args = [kwargs[name] for name in self.param_names if name in kwargs]
+        if self.runner is None:
+            self.runner = tilelang_compile(
+                self.module.forward,
+                mode="graph",
+                cuda_graph=self.cuda_graph,
+                native=self.native,
+                example_args=tuple(args),
+            )
+        return self.runner(*args)
+
+
+class TilelangBackend(GraphCompilerBackend):
+    def __init__(self, config):
+        super().__init__(config)
+        if tilelang_compile is None:
+            raise ImportError(
+                "tilelang is not installed. "
+                "Please install it to use the tilelang backend."
+            )
+
+    def __call__(self, model, **kwargs):
+        cuda_graph = self.config.get("cuda_graph", False)
+        native = self.config.get("native", False)
+        return TilelangCompiledModule(model, cuda_graph=cuda_graph, native=native)
+
+    def synchronize(self):
+        if torch.cuda.is_available():
+            torch.cuda.synchronize()
+
+    def version(self):
+        try:
+            from importlib.metadata import version
+
+            return version("tilelang")
+        except ImportError:
+            return "unknown"
diff --git a/graph_net_bench/torch/test_compiler.py b/graph_net_bench/torch/test_compiler.py
index e41d9aa42..411fb0b08 100755
--- a/graph_net_bench/torch/test_compiler.py
+++ b/graph_net_bench/torch/test_compiler.py
@@ -14,41 +14,46 @@
 import numpy as np
 import platform
 import base64
-from graph_net_bench.torch.backend.graph_compiler_backend import GraphCompilerBackend
-from graph_net_bench.torch.backend.tvm_backend import TvmBackend
-from graph_net_bench.torch.backend.flagtree_backend import FlagtreeBackend
-from graph_net_bench.torch.backend.xla_backend import XlaBackend
-from graph_net_bench.torch.backend.inductor_backend import InductorBackend
-from graph_net_bench.torch.backend.tensorrt_backend import TensorRTBackend
-from graph_net_bench.torch.backend.blade_disc_backend import BladeDISCBackend
-from graph_net_bench.torch.backend.nope_backend import NopeBackend
-from graph_net_bench.torch.backend.pass_mgr_backend import PassMgrBackend
-from graph_net_bench.torch.backend.unstable_to_stable_backend import (
-    UnstableToStableBackend,
-)
-from graph_net_bench.torch.backend.range_decomposer_validator_backend import (
-    RangeDecomposerValidatorBackend,
-)
-from graph_net_bench.torch.backend.graph_variable_renamer_validator_backend import (
-    GraphVariableRenamerValidatorBackend,
-)
 from graph_net_bench import test_compiler_util
 from graph_net_bench import path_utils
 
 
-compiler_backend_name2class = {
-    "tvm": TvmBackend,
-    "flagtree": FlagtreeBackend,
-    "xla": XlaBackend,
-    "inductor": InductorBackend,
-    "tensorrt": TensorRTBackend,
-    "bladedisc": BladeDISCBackend,
-    "nope": NopeBackend,
-    "pass_mgr": PassMgrBackend,
-    "unstable_to_stable": UnstableToStableBackend,
-    "range_decomposer_validator": RangeDecomposerValidatorBackend,
-    "graph_variable_renamer_validator": GraphVariableRenamerValidatorBackend,
-}
+def _get_backend_class(name):
+    from graph_net_bench.torch.backend.tvm_backend import TvmBackend
+    from graph_net_bench.torch.backend.flagtree_backend import FlagtreeBackend
+    from graph_net_bench.torch.backend.xla_backend import XlaBackend
+    from graph_net_bench.torch.backend.inductor_backend import InductorBackend
+    from graph_net_bench.torch.backend.tensorrt_backend import TensorRTBackend
+    from graph_net_bench.torch.backend.blade_disc_backend import BladeDISCBackend
+    from graph_net_bench.torch.backend.nope_backend import NopeBackend
+    from graph_net_bench.torch.backend.pass_mgr_backend import PassMgrBackend
+    from graph_net_bench.torch.backend.unstable_to_stable_backend import (
+        UnstableToStableBackend,
+    )
+    from graph_net_bench.torch.backend.range_decomposer_validator_backend import (
+        RangeDecomposerValidatorBackend,
+    )
+    from graph_net_bench.torch.backend.graph_variable_renamer_validator_backend import (
+        GraphVariableRenamerValidatorBackend,
+    )
+    from graph_net_bench.torch.backend.tilelang_backend import TilelangBackend
+
+    compiler_backend_name2class = {
+        "tvm": TvmBackend,
+        "flagtree": FlagtreeBackend,
+        "xla": XlaBackend,
+        "inductor": InductorBackend,
+        "tensorrt": TensorRTBackend,
+        "bladedisc": BladeDISCBackend,
+        "nope": NopeBackend,
+        "pass_mgr": PassMgrBackend,
+        "unstable_to_stable": UnstableToStableBackend,
+        "range_decomposer_validator": RangeDecomposerValidatorBackend,
+        "graph_variable_renamer_validator": GraphVariableRenamerValidatorBackend,
+        "tilelang": TilelangBackend,
+    }
+    assert name in compiler_backend_name2class, f"Unknown compiler: {name}"
+    return compiler_backend_name2class[name]
 
 
 def set_seed(random_seed):
@@ -109,11 +114,8 @@ def convert_to_dict(config_str):
     return config
 
 
-def get_compiler_backend(args) -> GraphCompilerBackend:
-    assert (
-        args.compiler in compiler_backend_name2class
-    ), f"Unknown compiler: {args.compiler}"
-    backend_class = compiler_backend_name2class[args.compiler]
+def get_compiler_backend(args):
+    backend_class = _get_backend_class(args.compiler)
     config = convert_to_dict(args.config) if args.config is not None else {}
     return backend_class(config)
 
@@ -165,18 +167,16 @@ def measure_performance(model_call, args, compiler):
         gpu_times = []
 
         for i in range(args.trials):
+            # GPU-only timing (CUDA Events)
+            start_event = torch.cuda.Event(enable_timing=True)
+            end_event = torch.cuda.Event(enable_timing=True)
+
             # End-to-end timing (naive_timer)
             duration_box = test_compiler_util.DurationBox(-1)
             with test_compiler_util.naive_timer(duration_box, compiler.synchronize):
-                # GPU-only timing (CUDA Events)
-                start_event = torch.cuda.Event(enable_timing=True)
-                end_event = torch.cuda.Event(enable_timing=True)
                 start_event.record()
-
                 model_call()
-
                 end_event.record()
-                compiler.synchronize()
 
             gpu_time_ms = start_event.elapsed_time(end_event)
             e2e_times.append(duration_box.value)
@@ -445,7 +445,7 @@ def test_multi_models(args):
 
 def test_multi_models_with_prefix(args):
     assert os.path.isdir(args.model_path_prefix)
-    assert os.path.isfile(args.allow_list)
+    assert os.path.isfile(args.allow_list), f"{args.allow_list=} is not a regular file."
     test_samples = test_compiler_util.get_allow_samples(
         args.allow_list, get_sample_root(args)
     )