|callable|chr|classmethod|cmp|coerce|compile|complex|delattr|dict|dir|divmod|enumerate|eval|execfile|file|filter|float|format|frozenset|getattr|globals|hasattr|hash|help|hex|id|input|int|intern|isinstance|issubclass|iter|len|list|locals|long|map|max|memoryview|min|next|object|oct|open|ord|pow|property|range|raw_input|reduce|reload|repr|reversed|round|set|setattr|slice|sorted|staticmethod|str|sum|super|tuple|type|unichr|unicode|vars|xrange|zip)\b/,boolean:/\b(?:True|False|None)\b/,number:/(?:\b(?...

    if (functions_to_skip.contains(func_op)) {
      OpBuilder builder(func_op);
      // Mark this function as being skipped in island outlining.
      func_op->setAttr(mlir::TF::kSkipIslandOutlining,
                       builder.getBoolAttr(true));
      continue;
    }

    func_op.walk([&](GraphOp graph) {
      Block& graph_body = graph.GetBody();

  // outside of the region which may cause some new legalization failures.
  // TODO(b/126739593): Enable this attribute in TensorFlow by default. Also,
  // see b/185542519 for the context.
  dst->setAttr(kXlaPropagateCompileTimeConsts, builder->getBoolAttr(true));
}

// If the region only does a single function call whose operands / returns match
// exactly the block args and results, return the name of the called function.

    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);
}

// Transforms input shape for the first convolution.
void HandleConv2DInput(TF::Conv2DOp conv2d, int64_t block_size) {
  auto input = conv2d.getInput();

    }
    // Recreate the attributes dictionary to only contain "value".
    NamedAttrList attributes;
    attributes.append(NamedAttribute(value_str_attr, cst->getAttr("value")));
    cst->setAttrs(attributes.getDictionary(&getContext()));
  });

  auto& side_effect_analysis = getAnalysis<mlir::TF::SideEffectAnalysis>();
  for (auto func : getOperation().getOps<mlir::func::FuncOp>())

                                    xla_call_module_op.getArgs());

  // Transfer the `kQuantizationMethodAttr` attribute to the `CallOp`,
  // indicating what `Method` has been applied to the quantized unit.
  call_op->setAttr(
      kQuantizationMethodAttr,
      xla_call_module_op->getAttrOfType<StringAttr>(kQuantizationMethodAttr));

  rewriter.replaceOp(xla_call_module_op, call_op);
}

  // quantization pass. These ops can be removed without losing original
  // program accuracy.
  // TODO: b/323478683 - Make the attribute being part of op definition.
  quantize->setAttr(kVolatileOpAttrName, builder_.getUnitAttr());

  // `original_result` has a use to `quantize`, so this will replace that use
  // by the result of `dequantize`. Remember to reset that use afterwards

    }
    OpBuilder builder(call);
    auto new_call = builder.create<CallOp>(
        call.getLoc(), info.decomposed_callee.getFunctionType().getResults(),
        new_operands, call->getAttrs());
    new_call->setAttr(
        "f", SymbolRefAttr::get(
                 builder.getContext(),
                 const_cast<func::FuncOp&>(info.decomposed_callee).getName()));
    for (const auto& entry : info.buffer_ret_to_size_ret) {

    }
    OpBuilder builder(call);
    auto new_call = builder.create<CallOp>(
        call.getLoc(), info.decomposed_callee.getFunctionType().getResults(),
        new_operands, call->getAttrs());
    new_call->setAttr(
        "f", SymbolRefAttr::get(
                 builder.getContext(),
                 const_cast<func::FuncOp&>(info.decomposed_callee).getName()));
    for (const auto& entry : info.ret_forward_input) {

  Value reduced = builder.create<TF::EinsumOp>(
      loc, RankedTensorType::get(output_shape, builder.getIntegerType(32)),
      input_arguments, builder.getStringAttr(einsum_equation));

  reduced.getDefiningOp()->setAttr(
      kTfQuantCreatedEinsum,
      BoolAttr::get(reduced.getDefiningOp()->getContext(), true));
  auto mul_op = builder.create<TF::MulOp>(loc, zp, reduced);