4th tasks anchors

graph_net/torch/backend/unstable_to_stable_backend.py

@@ -147,6 +147,26 @@ def _impl_unstable_to_stable_special_logit(self, gm):
 
         return gm
 
+    # replace this line with modification code for task 116 (torch._C._linalg.linalg_vector_norm)
+
+    # replace this line with modification code for task 117 (torch._C._linalg.linalg_norm)
+
+    # replace this line with modification code for task 118 (torch._C._nn.softplus)
+
+    # replace this line with modification code for task 119 (torch._C._nn.one_hot)
+
+    # replace this line with modification code for task 121 (torch._C._set_grad_enabled)
+
+    # replace this line with modification code for task 122 (torch._C._log_api_usage_once)
+
+    # replace this line with modification code for task 123 (torch._C._nn.pad)
+
+    # replace this line with modification code for task 125 (torch._C._nn.gelu)
+
+    # replace this line with modification code for task 126 (torch._C._nn.scaled_dot_product_attention)
+
+    # replace this line with modification code for task 127 (torch._C._nn.linear)
+
     def unstable_to_stable(self, gm):
         methods = (
             name

graph_net/torch/fx_graph_serialize_util.py

@@ -25,7 +25,16 @@ def serialize_graph_module_to_str(gm: torch.fx.GraphModule) -> str:
         (r"torch\._C\._fft\.fft_rfft\(", "torch.fft.rfft("),
         (r"torch\._C\._fft\.fft_fftn\(", "torch.fft.fftn("),
         (r"torch\._C\._special\.special_logit\(", "torch.special.logit("),
-        # Add new rules to this list as needed
+        # replace this line with modification code for task 116 (torch._C._linalg.linalg_vector_norm)
+        # replace this line with modification code for task 117 (torch._C._linalg.linalg_norm)
+        # replace this line with modification code for task 118 (torch._C._nn.softplus)
+        # replace this line with modification code for task 119 (torch._C._nn.one_hot)
+        # replace this line with modification code for task 121 (torch._C._set_grad_enabled)
+        # replace this line with modification code for task 122 (torch._C._log_api_usage_once)
+        # replace this line with modification code for task 123 (torch._C._nn.pad)
+        # replace this line with modification code for task 125 (torch._C._nn.gelu)
+        # replace this line with modification code for task 126 (torch._C._nn.scaled_dot_product_attention)
+        # replace this line with modification code for task 127 (torch._C._nn.linear)
     ]
     for pattern, repl in replacements:
         code = re.sub(pattern, repl, code)