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The Colab cores will be broken if I run the following part:
@R.function
def main(x: R.Tensor((1, 784), "float32"),
w0: R.Tensor((128, 784), "float32"),
b0: R.Tensor((128,), "float32"),
w1: R.Tensor((10, 128), "float32"),
b1: R.Tensor((10,), "float32")):
with R.dataflow():
lv0 = R.call_tir(linear0, (x, w0, b0), (1, 128), dtype="float32")
lv1 = R.call_tir(relu0, (lv0,), (1, 128), dtype="float32")
out = R.call_tir(linear1, (lv1, w1, b1), (1, 10), dtype="float32")
R.output(out)
return out
Please tell me how to deal with it. Thanks a lot, sorry for my poor English.
The text was updated successfully, but these errors were encountered:
The Colab cores will be broken if I run the following part:
@R.function
def main(x: R.Tensor((1, 784), "float32"),
w0: R.Tensor((128, 784), "float32"),
b0: R.Tensor((128,), "float32"),
w1: R.Tensor((10, 128), "float32"),
b1: R.Tensor((10,), "float32")):
with R.dataflow():
lv0 = R.call_tir(linear0, (x, w0, b0), (1, 128), dtype="float32")
lv1 = R.call_tir(relu0, (lv0,), (1, 128), dtype="float32")
out = R.call_tir(linear1, (lv1, w1, b1), (1, 10), dtype="float32")
R.output(out)
return out
Please tell me how to deal with it. Thanks a lot, sorry for my poor English.
The text was updated successfully, but these errors were encountered: