Merge pull request #256 from lopuhin/fix-python-examples

Fix first two python examples in the docs

docs/overview/python-examples.rst

@@ -26,7 +26,7 @@ Then you can interact with it from your interpreter. Below is the same sample as
 
  sq = mgr.sequence()
 
- sq.eval(OpTensorSyncLocal([tensor_in_a, tensor_in_b, tensor_out]))
+ sq.eval(OpTensorSyncDevice([tensor_in_a, tensor_in_b, tensor_out]))
 
  # Define the function via PyShader or directly as glsl string or spirv bytes
  @python2shader
@@ -37,11 +37,11 @@ Then you can interact with it from your interpreter. Below is the same sample as
  i = index.x
  data3[i] = data1[i] * data2[i]
 
-  algo = mgr.algorithm([tensor_in_a, tensor_in_b, tensor_out], compute_shader_multiply.to_spirv())
+ algo = mgr.algorithm([tensor_in_a, tensor_in_b, tensor_out], compute_shader_multiply.to_spirv())
 
  # Run shader operation synchronously
  sq.eval(OpAlgoDispatch(algo))
- sq.eval(OpAlgoSyncLocal([tensor_out]))
+ sq.eval(OpTensorSyncLocal([tensor_out]))
 
  assert tensor_out.data().tolist() == [2.0, 4.0, 6.0]
 
@@ -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])
-
- mgr.eval_tensor_create_def([tensor_in_a, tensor_in_b, tensor_out])
+ tensor_in_a = mgr.tensor([2, 2, 2])
+ tensor_in_b = mgr.tensor([1, 2, 3])
+ tensor_out = mgr.tensor([0, 0, 0])
 
- 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]))