torch-mlir/lib/Dialect/Torch/Utils/Utils.cpp

//===----------------------------------------------------------------------===//
//
// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// Also available under a BSD-style license. See LICENSE.
//
//===----------------------------------------------------------------------===//

#include "torch-mlir/Dialect/Torch/Utils/Utils.h"
#include "torch-mlir/Dialect/Torch/IR/TorchOps.h"

using namespace mlir::torch::torch_upstream;

namespace mlir {
namespace torch {
namespace Torch {

int64_t toPositiveDim(int64_t dim, int64_t inputRank) {
  return dim >= 0 ? dim : dim + inputRank;
}

bool isValidDim(int64_t dim, int64_t inputRank) {
  return dim >= 0 && dim < inputRank;
}

bool getListConstructElements(Value v, SmallVectorImpl<Value> &elems) {
  auto listConstruct = v.getDefiningOp<PrimListConstructOp>();
  if (!listConstruct)
    return false;
  elems = llvm::to_vector<4>(listConstruct.elements());
  return true;
}

ScalarType getScalarTypeForType(Type type) {
  if (type.isa<Float32Type>())
    return ScalarType::Float;
  if (type.isa<Float64Type>())
    return ScalarType::Double;
  if (type.isSignedInteger(64))
    return ScalarType::Long;
  if (type.isSignedInteger(32))
    return ScalarType::Int;
  if (type.isUnsignedInteger(1))
    return ScalarType::Bool;
  llvm::report_fatal_error("unhandled type for getScalarTypeForType");
}

LogicalResult checkNotNone(PatternRewriter &rewriter, Operation *op, Value v) {
  Type type = v.getType();
  if (type.isa<OptionalType>() || type.isa<Torch::NoneType>() ||
      type.isa<mlir::NoneType>())
    return rewriter.notifyMatchFailure(op, "unimplemented None type arg");
  return success();
}

} // namespace Torch
} // namespace torch
} // namespace mlir