Closed Christywl closed 5 years ago
It may block mobilenet example with onnx format. Raise priority.
@Christywl , could you please provide a set of failure test cases instead of cts-all?
@ibelem , could you please confirm the onnx mobile issue? What are the reproduce steps? Thanks!
@huningxin , you could use https://brucedai.github.io/nt/test/depthwise-softmax.html.
Results for onnx mobilenet
As shown above, the layer outputs diverge at mobilenetv20_features_linearbottleneck0_relu1_fwd
, which is a fused node of depthwise convolution. Check the model here.
Test Env
Chromium Version: nightly build 70.0.3503.0 (b7ce158) Platform: Linux Ubuntu 16.04
How to reproduce
Link: https://pinzhenx.github.io/webml-demo/examples/image_classification_onnx/testlayer?model=mobilenetv2-1.0
Set log level to Verbose
, mute Info
& Warnings
On the nightly build efb0f90, this issue wasn't reproduced. The tests still failed due to #565 and #244. Please see the details in #565 and #244, so close this issue.
Test Env: Chromium Version: nightly build 70.0.3503.0 (48326a5) Platform: Windows(Dell XPS 13), Linux Ubuntu 16.04
Expected Result: The test should pass.
Actual Result: "InvalidStateError: fails: 4" occurs for DEPTHWISE_CONV_2D and SOFTMAX operations.
InvalidStateError: fails: 4
How to Reproduce: