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As mentioned here: https://onnxruntime.ai/docs/performance/model-optimizations/float16.html#float16-tool-arguments
the float16.DEFAULT_OP_BLOCK_LIST should contain unsupported ops for given datatypes, this is no longer up to date as newer upsets for example do support float16 for resize.
Would it be possible to have DEFAULT_OP_BLOCK_LIST be a function instead of a static variable that returns different lists depending on the given opset ?
The text was updated successfully, but these errors were encountered:
gedoensmax
changed the title
Updating DEFAULT_OP_BLOCK_LIST to different ONNX standards
Updating DEFAULT_OP_BLOCK_LIST to different ONNX opsets
Jul 22, 2024
As mentioned here: https://onnxruntime.ai/docs/performance/model-optimizations/float16.html#float16-tool-arguments
the
float16.DEFAULT_OP_BLOCK_LIST
should contain unsupported ops for given datatypes, this is no longer up to date as newer upsets for example do support float16 for resize.Would it be possible to have
DEFAULT_OP_BLOCK_LIST
be a function instead of a static variable that returns different lists depending on the given opset ?The text was updated successfully, but these errors were encountered: