Jackie Elliott <******@****.***> 1713578333 -0700

// the quantization passes, quantized ops are represented as `func::CallOp` with
// a callee's prefix of `quantized_`.
void PopulateQuantizedResults(ModuleOp module_op,
                              QuantizationResults& results) {
  module_op.walk([&results](func::CallOp call_op) {
    std::optional<QuantizationResult> result = GetQuantizationResult(call_op);

Jackie Elliott <******@****.***> 1713578333 -0700

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package cfile

import (
	"encoding/json"
	"fmt"
	"internal/coverage"
	"internal/coverage/calloc"
	"internal/coverage/cformat"
	"internal/coverage/cmerge"
	"internal/coverage/decodecounter"
	"internal/coverage/decodemeta"
	"internal/coverage/pods"
	"internal/coverage/rtcov"
	"internal/runtime/atomic"
	"io"

Jackie Elliott <******@****.***> 1713578333 -0700

                       bool would_be_cloned,
                       mlir::IRMapping &mapping) const final {
    // All tf_mlrt dialect ops can be inlined.
    return true;
  }
  // Note that CallOp and ReturnOp are handled by func; so need to implement
  // handleTerminator.
};

}  // namespace

TensorflowMlrtDialect::TensorflowMlrtDialect(mlir::MLIRContext *context)

  // within its purview are mutating in nature.
  void PropagatePotentiallyWrittenWithinUnhandledOp(Operation* op);

  // Given a Region associated with the callee and operands from the
  // corresponding callOp, propagate the potentially written decision to the
  // callOp's operands, if the corresponding region's arguments are potentially
  // written resources.
  void PropagatePotentiallyWrittenUpFromCallee(

// license that can be found in the LICENSE file.

// Runtime -> tracer API for memory events.

package runtime

import (
	"internal/abi"
	"runtime/internal/sys"
)

// Batch type values for the alloc/free experiment.
const (
	traceAllocFreeTypesBatch = iota // Contains types. [{id, address, size, ptrspan, name length, name string} ...]

  PopulateLegalizeHloToTFLitePatterns(&patterns, &context);

  ConversionTarget target(context);
  target.addLegalDialect<TFL::TensorFlowLiteDialect, mhlo::MhloDialect>();
  target.addLegalOp<func::CallOp, func::ConstantOp, arith::ConstantOp>();
  target.addDynamicallyLegalOp<mhlo::CustomCallOp>(IsCustomCallLegal);
  target.addDynamicallyLegalOp<mhlo::ReduceOp>(IsReduceOpLegal);

      if (!fold_all_constants_flag_) {
        if (!IsConstOrQConstInt(op)) return;
      }

      for (auto consumer : op->getResult(0).getUsers()) {
        auto consumer_call = llvm::dyn_cast_or_null<func::CallOp>(consumer);

        if (!consumer_call) continue;

        auto function_name = consumer_call.getCallee();

        // Locate the argument position of the use.
        int argument_index = -1;