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tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_avg_pool.cc
return row * pool.w_out + col; }; std::vector<float> correction_data(out_shaped_type.getNumElements(), 1.0); const float kern_size = pool.kh * pool.kw; // LEMMA 1: Changing the rounding mode from floor to ceil will increase an // output dimension by at most 1 (see `ComputeSpatialOutDim`). This is because // for any `x`, `ceil(x) - floor(x) <= 1`.
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