ConvolutedDog commented on code in PR #18159:
URL: https://github.com/apache/tvm/pull/18159#discussion_r2228491680
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docs/how_to/tutorials/e2e_opt_model.py:
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@@ -119,6 +138,7 @@
# Need to allocate data and params on GPU device
gpu_data = tvm.nd.array(np.random.rand(1, 3, 224, 224).astype("float32"),
dev)
gpu_params = [tvm.nd.array(p, dev) for p in params["main"]]
- gpu_out = vm["main"](gpu_data, *gpu_params).numpy()
+ gpu_out = vm["main"](gpu_data, *gpu_params)
+ gpu_out = np.array([gpu_out[0].numpy()[0][j] for j in range(1000)])
Review Comment:
I have simplified the numpy conversion.
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