XIAO-XIA opened a new issue #6588:
URL: https://github.com/apache/incubator-tvm/issues/6588
The output of relay op nn.dense seems not so accurate when working on some
specific input shapes.
`data_shape = (8, 512), weight_shape = (128, 512)`
### Reproduce
```python
import numpy as np
import tvm
from tvm import relay
import tvm.testing
@tvm.testing.uses_gpu
def test_dense():
for dtype in ["float32"]:
x = relay.var("x", shape=(8, 512), dtype=dtype)
w = relay.var("w", shape=(128, 512), dtype=dtype)
z = relay.nn.dense(x, w)
# Check result.
func = relay.Function([x, w], z)
x_data = np.random.rand(8, 512).astype(dtype)
w_data = np.random.rand(128, 512).astype(dtype)
ref_res = np.dot(x_data, w_data.T)
for target, ctx in tvm.testing.enabled_targets():
intrp1 = relay.create_executor("graph", ctx=ctx, target=target)
intrp2 = relay.create_executor("debug", ctx=ctx, target=target)
op_res1 = intrp1.evaluate(func)(x_data, w_data)
tvm.testing.assert_allclose(op_res1.asnumpy(), ref_res,
rtol=1e-5)
op_res2 = intrp2.evaluate(func)(x_data, w_data)
tvm.testing.assert_allclose(op_res2.asnumpy(), ref_res,
rtol=1e-5)
if __name__ == "__main__":
test_dense()
```
and the output message is like below:
```
Traceback (most recent call last):
File "../test/test_ops/tvm_dense/dense.py", line 30, in <module>
test_dense()
File "../test/test_ops/tvm_dense/dense.py", line 27, in test_dense
tvm.testing.assert_allclose(op_res2.asnumpy(), ref_res, rtol=1e-5)
File
"/home/ubuntu/Document/meta-project/meta/3rdparty/tvm/python/tvm/testing.py",
line 77, in assert_allclose
np.testing.assert_allclose(actual, desired, rtol=rtol, atol=atol,
verbose=True)
File
"/home/ubuntu/anaconda3/envs/mnm-dev/lib/python3.7/site-packages/numpy/testing/_private/utils.py",
line 1533, in assert_allclose
verbose=verbose, header=header, equal_nan=equal_nan)
File
"/home/ubuntu/anaconda3/envs/mnm-dev/lib/python3.7/site-packages/numpy/testing/_private/utils.py",
line 846, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-05, atol=1e-07
Mismatched elements: 570 / 1024 (55.7%)
Max absolute difference: 0.00658417
Max relative difference: 5.3529722e-05
x: array([[129.66075 , 128.89937 , 124.70353 , ..., 125.022705, 128.74326 ,
141.4742 ],
[131.87158 , 126.299194, 122.57687 , ..., 124.902275, 127.8332 ,...
y: array([[129.66115 , 128.89871 , 124.70149 , ..., 125.02127 , 128.74138 ,
141.47542 ],
[131.87265 , 126.301506, 122.579765, ..., 124.90285 , 127.83549 ,...
```
Can @yzhliu @hzfan have a look. Thanks!
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