Relaxing convolution infer checks. #3511
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@yzhliu @kevinthesun @tqchen @rankyung-hong Please review. |
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- Weight dtype can be different than idtype. So, using the weight tensor to set the dtype of weight. - For conv2d NCHWc operator, the weight can be of any dimension. For int8 computation on Intel, it can be 7D. Relaxing the weight type checking.
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Thanks @anijain2305 ! |
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- Weight dtype can be different than idtype. So, using the weight tensor to set the dtype of weight. - For conv2d NCHWc operator, the weight can be of any dimension. For int8 computation on Intel, it can be 7D. Relaxing the weight type checking.
wweic
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- Weight dtype can be different than idtype. So, using the weight tensor to set the dtype of weight. - For conv2d NCHWc operator, the weight can be of any dimension. For int8 computation on Intel, it can be 7D. Relaxing the weight type checking.
wweic
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- Weight dtype can be different than idtype. So, using the weight tensor to set the dtype of weight. - For conv2d NCHWc operator, the weight can be of any dimension. For int8 computation on Intel, it can be 7D. Relaxing the weight type checking.
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the dtype of weight.
computation on Intel, it can be 7D. Relaxing the weight type checking.
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