Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Fix first two python examples in the docs #256

Merged
merged 2 commits into from
Oct 31, 2021
Merged

Fix first two python examples in the docs #256

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a20aaac
fix simple python example
lopuhin Oct 22, 2021
bb91389
fix the second python example
lopuhin Oct 22, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 10 additions & 11 deletions docs/overview/python-examples.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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]

Expand All @@ -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
Expand All @@ -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]))
Expand Down