return false;
        }
        Output output = (Output) o;
        return Objects.equal(path, output.path);
    }

    @Override
    public int hashCode() {
        return Objects.hashCode(path);
    }

    @Override
    public String toString() {
        return "Output{path='" + path + "'}";
    }

zirain <******@****.***> 1703405786 +0800

Jacek Ewertowski <******@****.***> 1701261434 +0100

overlapping-outputs-timeline.png...

func.func @main() {
  tf_executor.graph {
    %outputs, %control = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_INT32", name = "Constant", value = dense<0> : tensor<i32>} : () -> tensor<i32>
    %outputs_0, %control_1 = tf_executor.island wraps "tf.LegacyCall"(%outputs) {_tpu_replicate = "cluster", device = "", f = @foo0} : (tensor<i32>) -> tensor<i32>
    tf_executor.fetch
  }

    for attr in all_dec_args.get('derived_attrs', []):
      py_str = attr.replace('"', "'")
      cxx_reg_code.append('.Attr("{}")'.format(py_str))
    for output_ in all_dec_args.get('outputs', []):
      cxx_reg_code.append('.Output("{}")'.format(output_))
    cxx_reg_code[-1] += ';\n'
    self.emit('\n    '.join(cxx_reg_code))


class OpRegGen(transpiler.GenericTranspiler):

overlapping-outputs-input-comparison.png...

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-unconditionally-use-set-output-shapes-on-import -tf-enable-shape-inference-on-import=false -tf-graph-as-function %s -o -  | FileCheck %s
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-unconditionally-use-set-output-shapes-on-import -tf-enable-shape-inference-on-import=true -tf-graph-as-function %s -o - | FileCheck %s

# Verify importing with _output_shapes enabled works as expected.

node {
  name: "_Arg"

    // CHECK: tf_executor.island wraps "tf.LegacyCall"(%outputs, %outputs) <{_disable_call_shape_inference = true, f = @test_func_name0}> : (tensor<!tf_type.resource<tensor<i64>>>, tensor<!tf_type.resource<tensor<i64>>>) -> tensor<*x!tf_type.resource>

Benjamin Elder <******@****.***> 1547627953 -0800