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Describe the bug Using the opengl or vulkan backends result in nonsensical values even in the most basic examples. CPU and cuda work fine.
To Reproduce
import taichi as ti ti.init(arch=ti.vulkan) x = ti.ndarray(ti.float32, shape=(), needs_grad=True) y = ti.ndarray(ti.float32, shape=(), needs_grad=True) x[None] = 2.0 @ti.kernel def forward(x: ti.types.ndarray(ti.float32, 0, needs_grad=True), y: ti.types.ndarray(ti.float32, 0, needs_grad=True)): y[None] = x[None] with ti.ad.Tape(loss=y): forward(x, y) print(x.to_numpy()) # expect 2 print(y.to_numpy()) # expect 2 print(x.grad.to_numpy()) # expect 1
Log/Screenshots
$ python my_sample_code.py [Taichi] version 1.8.0, llvm 15.0.4, commit 52b24f3e, linux, python 3.8.8 [Taichi] Starting on arch=vulkan 4.0 0.0 0.0
Additional comments I'm not sure if this is a known limitation, but if it is, it would be helpful if it was mentioned somewhere in the docs
The text was updated successfully, but these errors were encountered:
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Describe the bug
Using the opengl or vulkan backends result in nonsensical values even in the most basic examples. CPU and cuda work fine.
To Reproduce
Log/Screenshots
Additional comments
I'm not sure if this is a known limitation, but if it is, it would be helpful if it was mentioned somewhere in the docs
The text was updated successfully, but these errors were encountered: