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

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Fix first two python examples in the docs
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Alejandro Saucedo 2021-10-31 14:37:29 +00:00 • committed by GitHub
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1 changed files with 10 additions and 11 deletions
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21
docs/overview/python-examples.rst
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@ -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])
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]))