return errors::InvalidArgument(
        "Could not open input file ",
        string(input_filename.data(), input_filename.size()).c_str());
  }

  const auto& input_file = *file_or_err;
  absl::string_view content(input_file->getBufferStart(),
                            input_file->getBufferSize());
  return LoadProtoFromBuffer(content, proto);
}

Status LoadProtoFromFile(absl::string_view input_filename,

  TF_ASSERT_OK(mlir::TF::RunBridgeWithStandardPipeline(
      module_ref.get(),
      /*enable_logging=*/true, /*enable_inliner=*/false));

  std::string errorMessage;
  auto input_file = mlir::openInputFile(filepath, &errorMessage);
  EXPECT_THAT(input_file, Not(IsNull()));

  auto output_stream = mlir::openOutputFile(output_dump, &errorMessage);
  EXPECT_THAT(output_stream, Not(IsNull()));

  mlir::PassPipelineCLParser passPipeline(

      // $filter_sizes
      CompileTimeConstantOperand<TF::Conv2DBackpropFilterOp, 1>,
      CompileTimeConstantOperand<TF::Conv2DBackpropInputOp, 0>,  // $input_sizes
      // $filter_sizes
      CompileTimeConstantOperand<TF::Conv3DBackpropFilterV2Op, 1>,
      // $input_sizes
      CompileTimeConstantOperand<TF::Conv3DBackpropInputV2Op, 0>,
      // $group_assignment
      CompileTimeConstantOperand<TF::CrossReplicaSumOp, 1>,

 * limitations under the License.
 */
package org.gradle.cache.internal.btree;

public abstract class Block {
    static final int LONG_SIZE = 8;
    static final int INT_SIZE = 4;
    static final int SHORT_SIZE = 2;

    private BlockPayload payload;

    protected Block(BlockPayload payload) {
        this.payload = payload;
        payload.setBlock(this);
    }

         -> tensor<1x1x3x8xf32>

  func.return %0 : tensor<1x1x3x8xf32>
}

// CHECK-LABEL: func @transposeConv2DBackpropInput
func.func @transposeConv2DBackpropInput(
  %input_sizes: tensor<4xi32>,
  %filter: tensor<1x1x3x8xf32>,
  %out_backprop: tensor<1x32x32x8xf32>
) -> tensor<1x32x32x3xf32> {

  // CHECK: %[[INPUT_PERM:[0-9]*]] = "tf.DataFormatVecPermute"

        private FreeListBlock prev;
        private FreeListBlock next;

        @Override
        protected int getSize() {
            return Block.LONG_SIZE + Block.INT_SIZE + Block.INT_SIZE + maxBlockEntries * (Block.LONG_SIZE
                    + Block.INT_SIZE);
        }

        @Override
        protected byte getType() {
            return 0x44;
        }

        @Override

        nextBlock += length;
        return pos;
    }

    private final class BlockImpl extends Block {
        private static final int HEADER_SIZE = 1 + INT_SIZE; // type, payload size
        private static final int TAIL_SIZE = INT_SIZE;

        private BlockPointer pos;
        private int payloadSize;

        private BlockImpl(BlockPayload payload, BlockPointer pos) {
            this(payload);

def LegalizeConv2DBackpropInput : Pat<
  (TF_Conv2DBackpropInputOp $input_sizes, $filter, $out_backprop,
     IsIntList1XY1:$strides,
     BoolAttr:$use_cudnn_on_gpu,
     IsSameOrValid:$padding,
     I64ArrayAttr:$explicit_paddings,
     IsDataFormatNHWC:$data_format,
     IsAllOnes:$dilations),
  (TFL_TransposeConvOp $input_sizes,
     (TFL_TransposeOp $filter,

	defer runtime.GOMAXPROCS(runtime.GOMAXPROCS(1))
	x := rndNat(50000)
	y := rndNat(40)
	allocSize := allocBytes(func() {
		nat(nil).mul(x, y)
	})
	inputSize := uint64(len(x)+len(y)) * _S
	if ratio := allocSize / uint64(inputSize); ratio > 10 {
		t.Errorf("multiplication uses too much memory (%d > %d times the size of inputs)", allocSize, ratio)
	}
}

        if (StringUtil.isBlank(command)) {
            throw new CrawlerSystemException("command is empty.");
        }

        final Map<String, String> params = new HashMap<>();
        params.put("$INPUT_FILE", inputFile.getAbsolutePath());
        params.put("$OUTPUT_FILE", outputFile.getAbsolutePath());

        final List<String> cmdList = parseCommand(command, params);
        if (logger.isInfoEnabled()) {