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    minimum: 1
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    explanation: "Use AudioSummaryV2."
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  input_arg {
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  input_arg {
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  input_arg {
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op {
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    minimum: 1
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  input_arg {
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    minimum: 1
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    minimum: 1
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    explanation: "Use IFFT3D"
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  output_arg {
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  attr {
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    version: 14
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    version: 14
    explanation: "Use MatrixDiagPart"
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    explanation: "Use MatrixSetDiag"
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    name: "debug_urls"
    type: "list(string)"
    default_value {
      list {
      }
    }
    description: "List of URLs to debug targets, e.g.,\nfile:///foo/tfdbg_dump, grpc:://localhost:11011"
  }
  attr {
    name: "gated_grpc"
    type: "bool"
    default_value {
      b: false
    }
    description: "Whether this op will be gated. If any of the debug_urls of this\ndebug node is of the grpc:// scheme, when the value of this attribute is set\nto True, the data will not actually be sent via the grpc stream unless this\ndebug op has been enabled at the debug_url. If all of the debug_urls of this\ndebug node are of the grpc:// scheme and the debug op is enabled at none of\nthem, the output will be an empty Tensor."
  }
  summary: "Debug Identity Op."
  description: "Provides an identity mapping of the non-Ref type input tensor for debugging."
  allows_uninitialized_input: true
}
op {
  name: "DebugNanCount"
  input_arg {
    name: "input"
    description: "Input tensor, non-Reference type."
    type_attr: "T"
  }
  output_arg {
    name: "output"
    description: "An integer output tensor that is the number of NaNs in the input."
    type: DT_INT64
  }
  attr {
    name: "T"
    type: "type"
  }
  attr {
    name: "device_name"
    type: "string"
    default_value {
      s: ""
    }
  }
  attr {
    name: "tensor_name"
    type: "string"
    default_value {
      s: ""
    }
    description: "Name of the input tensor."
  }
  attr {
    name: "debug_urls"
    type: "list(string)"
    default_value {
      list {
      }
    }
    description: "List of URLs to debug targets, e.g.,\nfile:///foo/tfdbg_dump, grpc:://localhost:11011."
  }
  attr {
    name: "gated_grpc"
    type: "bool"
    default_value {
      b: false
    }
    description: "Whether this op will be gated. If any of the debug_urls of this\ndebug node is of the grpc:// scheme, when the value of this attribute is set\nto True, the data will not actually be sent via the grpc stream unless this\ndebug op has been enabled at the debug_url. If all of the debug_urls of this\ndebug node are of the grpc:// scheme and the debug op is enabled at none of\nthem, the output will be an empty Tensor."
  }
  summary: "Debug NaN Value Counter Op"
  description: "Counts number of NaNs in the input tensor, for debugging."
  allows_uninitialized_input: true
}
op {
  name: "DebugNumericSummary"
  input_arg {
    name: "input"
    description: "Input tensor, non-Reference type, float or double."
    type_attr: "T"
  }
  output_arg {
    name: "output"
    description: "A double tensor of shape [14 + nDimensions], where nDimensions is the\n  the number of dimensions of the tensor\'s shape. The elements of output are:\n  [0]: is initialized (1.0) or not (0.0).\n  [1]: total number of elements\n  [2]: NaN element count\n  [3]: generalized -inf count: elements <= lower_bound. lower_bound is -inf by\n    default.\n  [4]: negative element count (excluding -inf), if lower_bound is the default\n    -inf. Otherwise, this is the count of elements > lower_bound and < 0.\n  [5]: zero element count\n  [6]: positive element count (excluding +inf), if upper_bound is the default\n    -inf. Otherwise, this is the count of elements < upper_bound and > 0.\n  [7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by\n    default.\nOutput elements [1:8] are all zero, if the tensor is uninitialized.\n  [8]: minimum of all non-inf and non-NaN elements.\n       If uninitialized or no such element exists: +inf.\n  [9]: maximum of all non-inf and non-NaN elements.\n       If uninitialized or no such element exists: -inf.\n  [10]: mean of all non-inf and non-NaN elements.\n        If uninitialized or no such element exists: NaN.\n  [11]: variance of all non-inf and non-NaN elements.\n        If uninitialized or no such element exists: NaN.\n  [12]: Data type of the tensor encoded as an enum integer. See the DataType\n        proto for more details.\n  [13]: Number of dimensions of the tensor (ndims).\n  [14+]: Sizes of the dimensions."
    type: DT_DOUBLE
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  attr {
    name: "T"
    type: "type"
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  attr {
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    type: "string"
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    }
  }
  attr {
    name: "tensor_name"
    type: "string"
    default_value {
      s: ""
    }
    description: "Name of the input tensor."
  }
  attr {
    name: "debug_urls"
    type: "list(string)"
    default_value {
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    }
    description: "List of URLs to debug targets, e.g.,\nfile:///foo/tfdbg_dump, grpc:://localhost:11011"
  }
  attr {
    name: "lower_bound"
    type: "float"
    default_value {
      f: -inf
    }
    description: "(float) The lower bound <= which values will be included in the\ngeneralized -inf count. Default: -inf."
  }
  attr {
    name: "upper_bound"
    type: "float"
    default_value {
      f: inf
    }
    description: "(float) The upper bound >= which values will be included in the\ngeneralized +inf count. Default: +inf."
  }
  attr {
    name: "mute_if_healthy"
    type: "bool"
    default_value {
      b: false
    }
    description: "(bool) Do not send data to the debug URLs unless at least one\nof elements [2], [3] and [7] (i.e., the nan count and the generalized -inf and\ninf counts) is non-zero."
  }
  attr {
    name: "gated_grpc"
    type: "bool"
    default_value {
      b: false
    }
    description: "Whether this op will be gated. If any of the debug_urls of this\ndebug node is of the grpc:// scheme, when the value of this attribute is set\nto True, the data will not actually be sent via the grpc stream unless this\ndebug op has been enabled at the debug_url. If all of the debug_urls of this\ndebug node are of the grpc:// scheme and the debug op is enabled at none of\nthem, the output will be an empty Tensor."
  }
  summary: "Debug Numeric Summary Op."
  description: "Provide a basic summary of numeric value types, range and distribution."
  allows_uninitialized_input: true
}
op {
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    type: DT_STRING
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  input_arg {
    name: "crop_window"
    type: DT_INT32
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  output_arg {
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    type: DT_UINT8
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  attr {
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  }
  attr {
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  attr {
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  attr {
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op {
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op {
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}
op {
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    minimum: 1
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        type: DT_DOUBLE
        type: DT_INT32
        type: DT_INT64
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  attr {
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  attr {
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}
op {
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  output_arg {
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op {
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  output_arg {
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}
op {
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  output_arg {
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}
op {
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op {
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  output_arg {
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  output_arg {
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op {
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op {
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  output_arg {
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}
op {
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    type_attr: "T"
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  output_arg {
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    type_attr: "T"
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  attr {
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op {
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op {
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