let results = (outs TFL_BoolTensor:$output);
}

def TFL_LogicalOrOp : TFL_Op<"logical_or", [Pure]> {
  let summary = "Logical OR operator";

  let description = [{
    Element-wise logical OR operation.
  }];

  let arguments = (
    ins TFL_BoolTensor:$lhs,
    TFL_BoolTensor:$rhs);

  let results = (outs TFL_BoolTensor:$output);

    }
    if (auto vhlo_op = llvm::dyn_cast<mlir::vhlo::MinOpV1>(inst)) {
      return BuildStablehloOperatorwithoutOptions(
          inst, operands, results, tflite::BuiltinOperator_STABLEHLO_MINIMUM);
    }
    if (auto vhlo_op = llvm::dyn_cast<mlir::vhlo::PadOpV1>(inst)) {
      return BuildVhloPadV1Op(vhlo_op, operands, results, vhlo_type_converter);
    }

void BatchMatMulOp::getCanonicalizationPatterns(RewritePatternSet& results,
                                                MLIRContext* context) {
  results.add<BatchMatMulToV2>(context);
}

void BatchMatMulV2Op::getCanonicalizationPatterns(RewritePatternSet& results,
                                                  MLIRContext* context) {
  results.add<BatchMatMulV2ToMatMul>(context);
}

void TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults* results,
                                           int* num_outputs,
                                           TF_Output** outputs) {
  *num_outputs = results->return_tensors.size();
  *outputs = results->return_tensors.data();
}

void TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults* results,
                                              int* num_opers,

  //   iteration if the cond functions returns True or equivalent result.
  // * Operands and results to assign cond function arguments to op results if
  //   the cond function returns False or equivalent result. If the op is shape
  //   invariant, this does not hold as shapes can differ.
  // * All three pairs using cond inputs, body inputs and results as operand is
  //   a common source for all three.

  const auto folded =
      DenseElementsAttr::get(output_type, ArrayRef<float>(result_values));
  results.assign({folded});

  return success();
}

void FullyConnectedOp::getCanonicalizationPatterns(RewritePatternSet& results,
                                                   MLIRContext* context) {
  results.add<RemoveOptionalZeroBias<FullyConnectedOp>>(context);
}

that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume...

that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume...

that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume...

that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume...