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when i compile model meet [18:14:34] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v1.4.0. Attempting to upgrade... [18:14:34] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded! Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 3, 112, 112, 'float32'), (64, 3, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 112, 112, 'float32'), (64, 64, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 112, 112, 'float32'), (64, 64, 3, 3, 'float32'), (2, 2), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 112, 112, 'float32'), (64, 64, 1, 1, 'float32'), (2, 2), (0, 0), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 56, 56, 'float32'), (128, 64, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 128, 28, 28, 'float32'), (256, 128, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 256, 14, 14, 'float32'), (512, 256, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression. WARNING:autotvm:Cannot find config for target=cuda -model=unknown, workload=('dense', (1, 25088, 'float32'), (512, 25088, 'float32'), (512, 'float32'), 0). A fallback configuration is used, which may bring great performance regression. lib export succeefully warning. is it normal?
The text was updated successfully, but these errors were encountered:
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when i compile model meet [18:14:34] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v1.4.0. Attempting to upgrade...
[18:14:34] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 3, 112, 112, 'float32'), (64, 3, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 112, 112, 'float32'), (64, 64, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 112, 112, 'float32'), (64, 64, 3, 3, 'float32'), (2, 2), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 112, 112, 'float32'), (64, 64, 1, 1, 'float32'), (2, 2), (0, 0), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 64, 56, 56, 'float32'), (128, 64, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 128, 28, 28, 'float32'), (256, 128, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=cuda -model=unknown, workload=('conv2d', (1, 256, 14, 14, 'float32'), (512, 256, 3, 3, 'float32'), (1, 1), (1, 1), (1, 1), 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
WARNING:autotvm:Cannot find config for target=cuda -model=unknown, workload=('dense', (1, 25088, 'float32'), (512, 25088, 'float32'), (512, 'float32'), 0). A fallback configuration is used, which may bring great performance regression.
lib export succeefully warning. is it normal?
The text was updated successfully, but these errors were encountered: