fix the second python example

Signed-off-by: Konstantin Lopuhin <kostia.lopuhin@gmail.com>

docs/overview/python-examples.rst

@@ -61,13 +61,12 @@ Similarly you can find the same extended example as above:
     mgr = Manager(0, [2])
 
     # Can be initialized with List[] or np.Array
-    tensor_in_a = Tensor([2, 2, 2])
-    tensor_in_b = Tensor([1, 2, 3])
-    tensor_out = Tensor([0, 0, 0])
+    tensor_in_a = mgr.tensor([2, 2, 2])
+    tensor_in_b = mgr.tensor([1, 2, 3])
+    tensor_out = mgr.tensor([0, 0, 0])
 
-    mgr.eval_tensor_create_def([tensor_in_a, tensor_in_b, tensor_out])
-
-    seq = mgr.create_sequence("op")
+    seq = mgr.sequence()
+    seq.eval(kp.OpTensorSyncDevice([tensor_in_a, tensor_in_b, tensor_out]))
 
     # Define the function via PyShader or directly as glsl string or spirv bytes
     @python2shader
@@ -81,8 +80,8 @@ Similarly you can find the same extended example as above:
     algo = mgr.algorithm([tensor_in_a, tensor_in_b, tensor_out], compute_shader_multiply.to_spirv())
 
     # Run shader operation asynchronously and then await
-    mgr.eval_async(kp.OpAlgoDispatch(algo)))
-    mgr.eval_await()
+    seq.eval_async(kp.OpAlgoDispatch(algo))
+    seq.eval_await()
 
     seq.record(kp.OpTensorSyncLocal([tensor_in_a]))
     seq.record(kp.OpTensorSyncLocal([tensor_in_b]))