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Results 1 - 3 of 3 for ExtractMinMaxFromAttr (0.39 sec)
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tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.cc
} if (!qtype) return {}; const Type final_type = qtype.castFromExpressedType(target); if (!final_type) return {}; return TypeAttr::get(final_type); } void ExtractMinMaxFromAttr(const DenseFPElementsAttr values, const int dim_size, const int slice_size, bool symmetric, SmallVectorImpl<double>& mins,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 43.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h
SmallVector<double, 4> maxs(1, std::numeric_limits<double>::min()); // Computes the effective min/max values of the attribute values. quant::ExtractMinMaxFromAttr(attr, /*dim_size=*/1, /*slice_size=*/1, /*symmetric=*/true, mins, maxs); double scale = maxs[0] / -llvm::minIntN(tensor_property.number_of_bits);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 28K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h
// `dim_size` is number of channels and `slice_size` is the size of slice per // each channel. When `symmetric` is true, the range is expanded to [-M, M]. void ExtractMinMaxFromAttr(DenseFPElementsAttr values, int dim_size, int slice_size, bool symmetric, SmallVectorImpl<double>& mins, SmallVectorImpl<double>& maxs);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0)