cmd.Flags().StringVarP(pf.OutputFormat, "output", "o", *pf.OutputFormat, fmt.Sprintf("Output format. One of: %s.", strings.Join(pf.AllowedFormats(), "|")))
	cmd.Flags().StringVarP(pf.OutputFormat, "experimental-output", "", *pf.OutputFormat, fmt.Sprintf("Output format. One of: %s.", strings.Join(pf.AllowedFormats(), "|")))
	_ = cmd.Flags().MarkDeprecated("experimental-output", "please use --output instead.")
}

Xiaopeng Han <******@****.***> 1686064488 +0800

  input: "z:1"
  input: "z:2"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
}
versions {
  producer: 230
}

# Test non zero index output tensors as feeds. Original ops where their outputs
# are replaced with feeds are preserved and args and rets are lifted to the
# function. Rets that happen to coincide with a feed should have its value be
# of the feed.
#

// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

func.func @main(%arg0: tensor<10xi32>) -> tensor<10xi32>
attributes {tf.entry_function = {inputs = "input0", outputs = "output0"}} {
  %graph = tf_executor.graph {
    tf_executor.fetch %arg0 : tensor<10xi32>
  }
  func.return %graph : tensor<10xi32>
}

// CHECK:      node {
// CHECK-NEXT:   name: "input0"
// CHECK-NEXT:   op: "_Arg"
// CHECK:          key: "T"

overlapping-outputs-timeline.png...

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

# RUN: not tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-input-shapes='' -tf-output-arrays=input:1 -o - 2>&1 | FileCheck %s

# CHECK: Invalid output index 1 specified for node: input

node {
  name: "input"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }

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

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

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