Fix typo in tutorial doc

gallery/tutorial/tvmc_python.py

@@ -68,7 +68,7 @@
 #
 # .. code-block:: python
 #
-#   #model = tvmc.load(my_model, shape_dict={'input1' : [1, 2, 3, 4], 'input2' : [1, 2, 3, 4]}) #Step 1: Load + shape_dict
+#   #model = tvmc.load('my_model.onnx', shape_dict={'input1' : [1, 2, 3, 4], 'input2' : [1, 2, 3, 4]}) #Step 1: Load + shape_dict
 #
 # A suggested way to see the model's input/shape_dict is via `netron <https://netron.app/>`_. After opening the model,
 # click the first node to see the name(s) and shape(s) in the inputs section.
@@ -111,7 +111,7 @@
 #   result = tvmc.run(package, device="cpu") #Step 3: Run
 #
 # And you can print the results:
-# ``print(results)``
+# ``print(result)``
 #
 
 ################################################################################
@@ -202,10 +202,10 @@
 #
 # .. code-block:: python
 #
-#   tvmc.compile(model, target="llvm", package_path="whatever")
+#   tvmc.compile(model, target="llvm", package_path="whatever") #Step 2: Compile
 #
 #   new_package = tvmc.TVMCPackage(package_path="whatever")
-#   result = tvmc.run(new_package) #Step 3: Run
+#   result = tvmc.run(new_package, device="cpu") #Step 3: Run
 #
 #
 
@@ -237,7 +237,7 @@
 #      log_file = "hello.json"
 #
 #      # Run tuning
-#      tvmc.tune(model, target="llvm",tuning_records=log_file)
+#      tvmc.tune(model, target="llvm", tuning_records=log_file)
 #
 #      ...
 #
@@ -285,7 +285,7 @@
 #           model,
 #           target=target, # Compilation target as string // Device to compile for
 #           target_host=target_host, # Host processor
-#           hostname=host_ip_address, #The IP address of an RPC tracker, used when benchmarking remotely.
+#           hostname=host_ip_address, # The IP address of an RPC tracker, used when benchmarking remotely.
 #           port=port_number, # The port of the RPC tracker to connect to. Defaults to 9090.
 #           rpc_key=your_key, # The RPC tracker key of the target device. Required when rpc_tracker is provided
 #      )