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I want to perform integer-based convolution and have designed a simple test case for this purpose. The network consists of a single convolution layer, where both the input tensor and the weight tensor have the shape [1, 11111, 1, 1] and are filled with the value 127. The output is then converted to INT32. The expected output of this operation should be 127 * 127 * 11111 = 179209319. However, I have tested 3 different configurations as shown below, and none of them produced the expected output.
Note that ('NPU', np.int8) appears to be an invalid configuration and will raise errors.
OpenVINO Version
2024.6.0
Operating System
Windows System
Device used for inference
NPU
Framework
None
Model used
Custom (1 conv + 1 convert, see below)
Issue description
I want to perform integer-based convolution and have designed a simple test case for this purpose. The network consists of a single convolution layer, where both the input tensor and the weight tensor have the shape
[1, 11111, 1, 1]
and are filled with the value127
. The output is then converted toINT32
. The expected output of this operation should be127 * 127 * 11111 = 179209319
. However, I have tested 3 different configurations as shown below, and none of them produced the expected output.Note that
('NPU', np.int8)
appears to be an invalid configuration and will raise errors.Step-by-step reproduction
pip install openvino==2024.6.0
.test_case.py
.python test_case.py
.65504
,179199248
, or179209312
, depending on the configuration.Relevant log output
No response
Issue submission checklist
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