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Results 41 - 50 of 87 for IntegerAttr (0.13 sec)

  1. tensorflow/compiler/mlir/lite/utils/fake_quant_utils.h

        }
        // Use the min/max from the operands and the num_bits and narrow_range
        // attribute to create the quantization parameter for the new quantize op.
        rewriter.setInsertionPointAfter(tf_op.getOperation());
        IntegerAttr num_bits = rewriter.getI64IntegerAttr(tf_op.getNumBits());
        BoolAttr narrow_range = rewriter.getBoolAttr(tf_op.getNarrowRange());
        Type res_type = tf_op.getType();
        TypeAttr qtype = quant::GetQuantizedTypeAttr(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 6.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tfr/passes/decompose.cc

    namespace TFR {
    
    namespace {
    
    // Quantize the float value based on given scale and zero point attributes.
    IntegerAttr Quantize(float value, Attribute scale_attr, Attribute zp_attr,
                         OpBuilder builder) {
      double scale = mlir::cast<FloatAttr>(scale_attr).getValueAsDouble();
      int64_t zp = mlir::cast<IntegerAttr>(zp_attr).getInt();
    
      int quantized = static_cast<int>(std::round(value / scale) + zp);
      quantized =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 14.6K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/quantization/tensorflow/tf_to_quant.cc

        }
        // Use the min/max from the operands and the num_bits and narrow_range
        // attribute to create the quantization parameter for the new quantize op.
        rewriter.setInsertionPointAfter(tf_op.getOperation());
        IntegerAttr num_bits = rewriter.getI64IntegerAttr(tf_op.getNumBits());
        BoolAttr narrow_range = rewriter.getBoolAttr(tf_op.getNarrowRange());
        Type res_type = tf_op.getType();
        TypeAttr qtype = quant::GetQuantizedTypeAttr(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 8.1K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/transforms/tpu_space_to_depth_pass.cc

    void HandleConv2DStride(TF::Conv2DOp conv2d) {
      MLIRContext* context = conv2d.getContext();
      SmallVector<int64_t, 4> values = {1, 1, 1, 1};
      auto attrs = llvm::map_range(values, [context](int64_t v) -> Attribute {
        return IntegerAttr::get(IntegerType::get(context, 64), v);
      });
      // TODO(b/157276506): change type of strides to DenseElementsAttr
      auto strides = ArrayAttr::get(context, llvm::to_vector<4>(attrs));
      conv2d->setAttr("strides", strides);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 29.3K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc

              window_dimensions.getValues<IntegerAttr>()[i].getInt());
        }
    
        for (auto i = 0; i < window_strides.size(); ++i) {
          window_strides_vec.push_back(
              window_strides.getValues<IntegerAttr>()[i].getInt());
        }
    
        for (auto i = 0; i < base_dilations.size(); ++i) {
          base_dilations_vec.push_back(
              base_dilations.getValues<IntegerAttr>()[i].getInt());
        }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Jun 08 07:28:49 UTC 2024
    - 134.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/transforms/mark_input_output_aliases.cc

        if (alias_info.input_index == kUnassigned ||
            alias_info.output_index == kUnassigned)
          continue;
        auto aliasing_attr = device_func.getArgAttrOfType<mlir::IntegerAttr>(
            alias_info.input_index, kAliasingAttr);
    
        // Set only if aliasing attribute does not exist.
        if (!aliasing_attr) {
          device_func.setArgAttr(
              alias_info.input_index, kAliasingAttr,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 05 04:14:26 UTC 2024
    - 7.5K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tf2xla/internal/passes/tpu_sharding_identification_pass.cc

    using OptionalOpShardingVector =
        llvm::SmallVector<std::optional<OpShardingVariant>, 8>;
    using llvm::StringRef;
    using mlir::Block;
    using mlir::BlockArgument;
    using mlir::BoolAttr;
    using mlir::Builder;
    using mlir::IntegerAttr;
    using mlir::LogicalResult;
    using mlir::ModuleOp;
    using mlir::Operation;
    using mlir::OpOperand;
    using mlir::OpResult;
    using mlir::RankedTensorType;
    using mlir::StringAttr;
    using mlir::Value;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 30 02:01:13 UTC 2024
    - 28.9K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tfrt/analysis/cost_analysis.cc

        cost_map_[op] = iter->second(context, op);
        return;
      }
    
      // Try to use the recorded cost if any.
      if (cost_recorder_ != nullptr) {
        const auto op_key_attr =
            op->getAttrOfType<mlir::IntegerAttr>(kOpKeyAttrName);
        if (op_key_attr) {
          cost_map_[op] = cost_recorder_->GetCost(op_key_attr.getInt());
          return;
        }
      }
    
      // These ops are cheap regardless of their input sizes.
      //
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 7.6K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_metadata_utils.cc

      llvm::SmallSet<int, 4> dynamic_arg_idx_set;
      if (dynamic_arg_idx) {
        for (auto idx : dynamic_arg_idx.getValue()) {
          dynamic_arg_idx_set.insert(mlir::dyn_cast<IntegerAttr>(idx).getInt());
        }
      }
    
      for (auto operand_type_and_idx : llvm::enumerate(op.getOperandTypes())) {
        Type operand_type = operand_type_and_idx.value();
        int index = operand_type_and_idx.index();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 10.3K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc

      if (elem_type.isSignlessInteger() || elem_type.isUnsignedInteger()) {
        auto start_attr = start_tensor.getValues<IntegerAttr>()[0];
        auto limit_attr = limit_tensor.getValues<IntegerAttr>()[0];
        auto delta_attr = delta_tensor.getValues<IntegerAttr>()[0];
        int num_elements;
        if (elem_type.isUnsignedInteger()) {
          uint64_t start = start_attr.getUInt();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 22:07:10 UTC 2024
    - 170.8K bytes
    - Viewed (0)
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