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Results 1 - 3 of 3 for quantizable_input_indices (0.53 sec)

  1. tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.h

    // Stores information about how to quantize a user-specified custom operation.
    // CustomOpInfo contains info of its corresponding CustomOp registered in the
    // CustomOpMap. 'quantizable_input_indices' is used to determine which indices
    // of the CustomOp are quantizable. 'is_weight_only' is used specify whether the
    // custom op is quantized only for storage and dequantized at runtime.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 23:15:24 UTC 2024
    - 4.2K bytes
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  2. tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.cc

      quant_specs.legacy_float_scale = legacy_float_scale;
      quant_specs.ops_blocklist = denylisted_mlir_op_names;
      for (const auto& entry : custom_op_map) {
        quant_specs.custom_map[entry.first].quantizable_input_indices =
            entry.second.quantizable_input_indices;
        quant_specs.custom_map[entry.first].is_weight_only =
            entry.second.is_weight_only;
        quant_specs.custom_map[entry.first].no_side_effect =
            entry.second.no_side_effect;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 23:15:24 UTC 2024
    - 9.5K bytes
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  3. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.cc

            const std::vector<std::string> indices =
                absl::StrSplit(node_specification, '-');
            for (const std::string& cur_index : indices) {
              custom_op_map[node_name].quantizable_input_indices.push_back(
                  std::stoi(cur_index));
            }
            break;
          }
          case CustomOpUpdateOptions::kWeightOnly:
            custom_op_map[node_name].is_weight_only =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 05 07:39:40 UTC 2024
    - 5.9K bytes
    - Viewed (0)
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