TransformInput2

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  "properties": {
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      "properties": {
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        "data": {
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          "properties": {
            "names": {
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              "items": {
                "type": "string"
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            },
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              "items": {
                "description": "Can be anything: string, number, array, object, etc.",
                "type": "object"
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              "properties": {
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                  "type": "array",
                  "items": {
                    "type": "integer",
                    "format": "int32"
                  }
                },
                "values": {
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                  "items": {
                    "type": "number",
                    "format": "double"
                  }
                }
              }
            },
            "tftensor": {
              "type": "object",
              "description": "Protocol buffer representing a tensor.",
              "properties": {
                "bool_val": {
                  "type": "array",
                  "items": {
                    "type": "boolean",
                    "format": "boolean"
                  }
                },
                "dcomplex_val": {
                  "type": "array",
                  "description": "DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real\nand imaginary parts of i-th double precision complex.",
                  "items": {
                    "type": "number",
                    "format": "double"
                  }
                },
                "double_val": {
                  "type": "array",
                  "description": "DT_DOUBLE.",
                  "items": {
                    "type": "number",
                    "format": "double"
                  }
                },
                "dtype": {
                  "type": "string",
                  "description": "- DT_INVALID: Not a legal value for DataType.  Used to indicate a DataType field\nhas not been set.\n - DT_FLOAT: Data types that all computation devices are expected to be\ncapable to support.\n - DT_FLOAT_REF: Do not use!  These are only for parameters.  Every enum above\nshould have a corresponding value below (verified by types_test).",
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                    "DT_INVALID",
                    "DT_FLOAT",
                    "DT_DOUBLE",
                    "DT_INT32",
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                    "DT_INT16",
                    "DT_INT8",
                    "DT_STRING",
                    "DT_COMPLEX64",
                    "DT_INT64",
                    "DT_BOOL",
                    "DT_QINT8",
                    "DT_QUINT8",
                    "DT_QINT32",
                    "DT_BFLOAT16",
                    "DT_QINT16",
                    "DT_QUINT16",
                    "DT_UINT16",
                    "DT_COMPLEX128",
                    "DT_HALF",
                    "DT_RESOURCE",
                    "DT_VARIANT",
                    "DT_UINT32",
                    "DT_UINT64",
                    "DT_FLOAT_REF",
                    "DT_DOUBLE_REF",
                    "DT_INT32_REF",
                    "DT_UINT8_REF",
                    "DT_INT16_REF",
                    "DT_INT8_REF",
                    "DT_STRING_REF",
                    "DT_COMPLEX64_REF",
                    "DT_INT64_REF",
                    "DT_BOOL_REF",
                    "DT_QINT8_REF",
                    "DT_QUINT8_REF",
                    "DT_QINT32_REF",
                    "DT_BFLOAT16_REF",
                    "DT_QINT16_REF",
                    "DT_QUINT16_REF",
                    "DT_UINT16_REF",
                    "DT_COMPLEX128_REF",
                    "DT_HALF_REF",
                    "DT_RESOURCE_REF",
                    "DT_VARIANT_REF",
                    "DT_UINT32_REF",
                    "DT_UINT64_REF"
                  ]
                },
                "float_val": {
                  "type": "array",
                  "description": "DT_FLOAT.",
                  "items": {
                    "type": "number",
                    "format": "float"
                  }
                },
                "half_val": {
                  "type": "array",
                  "description": "DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll\nhave some pointless zero padding for each value here.",
                  "items": {
                    "type": "integer",
                    "format": "int32"
                  }
                },
                "int64_val": {
                  "type": "array",
                  "items": {
                    "type": "string",
                    "format": "int64"
                  }
                },
                "int_val": {
                  "type": "array",
                  "description": "DT_INT32, DT_INT16, DT_INT8, DT_UINT8.",
                  "items": {
                    "type": "integer",
                    "format": "int32"
                  }
                },
                "resource_handle_val": {
                  "type": "array",
                  "items": {
                    "type": "object",
                    "description": "Protocol buffer representing a handle to a tensorflow resource. Handles are\nnot valid across executions, but can be serialized back and forth from within\na single run.",
                    "properties": {
                      "container": {
                        "type": "string",
                        "description": "Container in which this resource is placed."
                      },
                      "device": {
                        "type": "string",
                        "description": "Unique name for the device containing the resource."
                      },
                      "hash_code": {
                        "type": "string",
                        "format": "uint64",
                        "description": "Hash code for the type of the resource. Is only valid in the same device\nand in the same execution."
                      },
                      "maybe_type_name": {
                        "type": "string",
                        "description": "For debug-only, the name of the type pointed to by this handle, if\navailable."
                      },
                      "name": {
                        "type": "string",
                        "description": "Unique name of this resource."
                      }
                    }
                  }
                },
                "scomplex_val": {
                  "type": "array",
                  "description": "DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real\nand imaginary parts of i-th single precision complex.",
                  "items": {
                    "type": "number",
                    "format": "float"
                  }
                },
                "string_val": {
                  "type": "array",
                  "items": {
                    "type": "string",
                    "format": "byte"
                  }
                },
                "tensor_content": {
                  "type": "string",
                  "format": "byte",
                  "description": "Serialized raw tensor content from either Tensor::AsProtoTensorContent or\nmemcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation\ncan be used for all tensor types. The purpose of this representation is to\nreduce serialization overhead during RPC call by avoiding serialization of\nmany repeated small items."
                },
                "tensor_shape": {
                  "type": "object",
                  "description": "Shape of the tensor.  TODO(touts): sort out the 0-rank issues.",
                  "properties": {
                    "dim": {
                      "type": "array",
                      "description": "Dimensions of the tensor, such as {\"input\", 30}, {\"output\", 40}\nfor a 30 x 40 2D tensor.  If an entry has size -1, this\ncorresponds to a dimension of unknown size. The names are\noptional.\n\nThe order of entries in \"dim\" matters: It indicates the layout of the\nvalues in the tensor in-memory representation.\n\nThe first entry in \"dim\" is the outermost dimension used to layout the\nvalues, the last entry is the innermost dimension.  This matches the\nin-memory layout of RowMajor Eigen tensors.\n\nIf \"dim.size()\" > 0, \"unknown_rank\" must be false.",
                      "items": {
                        "type": "object",
                        "description": "One dimension of the tensor.",
                        "properties": {
                          "name": {
                            "type": "string",
                            "description": "Optional name of the tensor dimension."
                          },
                          "size": {
                            "type": "string",
                            "format": "int64",
                            "description": "Size of the tensor in that dimension.\nThis value must be >= -1, but values of -1 are reserved for \"unknown\"\nshapes (values of -1 mean \"unknown\" dimension).  Certain wrappers\nthat work with TensorShapeProto may fail at runtime when deserializing\na TensorShapeProto containing a dim value of -1."
                          }
                        }
                      }
                    },
                    "unknown_rank": {
                      "type": "boolean",
                      "format": "boolean",
                      "description": "If true, the number of dimensions in the shape is unknown.\n\nIf true, \"dim.size()\" must be 0."
                    }
                  }
                },
                "uint32_val": {
                  "type": "array",
                  "items": {
                    "type": "integer",
                    "format": "int64"
                  }
                },
                "uint64_val": {
                  "type": "array",
                  "items": {
                    "type": "string",
                    "format": "uint64"
                  }
                },
                "variant_val": {
                  "type": "array",
                  "items": {
                    "type": "object",
                    "description": "Protocol buffer representing the serialization format of DT_VARIANT tensors.",
                    "properties": {
                      "metadata": {
                        "type": "string",
                        "format": "byte",
                        "description": "Portions of the object that are not Tensors."
                      },
                      "tensors": {
                        "type": "array",
                        "description": "Tensors contained within objects being serialized.",
                        "items": {
                          "type": "object",
                          "additionalProperties": true
                        }
                      },
                      "type_name": {
                        "type": "string",
                        "description": "Name of the type of objects being serialized."
                      }
                    }
                  }
                },
                "version_number": {
                  "type": "integer",
                  "format": "int32",
                  "description": "Version number.\n\nIn version 0, if the \"repeated xxx\" representations contain only one\nelement, that element is repeated to fill the shape.  This makes it easy\nto represent a constant Tensor with a single value."
                }
              }
            }
          }
        },
        "meta": {
          "type": "object",
          "properties": {
            "metrics": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "key": {
                    "type": "string"
                  },
                  "type": {
                    "type": "string",
                    "enum": [
                      "COUNTER",
                      "GAUGE",
                      "TIMER"
                    ]
                  },
                  "value": {
                    "type": "number",
                    "format": "float"
                  }
                }
              }
            },
            "puid": {
              "type": "string"
            },
            "requestPath": {
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            },
            "routing": {
              "type": "object"
            },
            "tags": {
              "type": "object"
            }
          }
        },
        "status": {
          "type": "object",
          "properties": {
            "code": {
              "type": "integer",
              "format": "int32"
            },
            "info": {
              "type": "string"
            },
            "reason": {
              "type": "string"
            },
            "status": {
              "type": "string",
              "enum": [
                "SUCCESS",
                "FAILURE"
              ]
            }
          }
        },
        "strData": {
          "type": "string"
        }
      }
    }
  },
  "required": [
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  "additionalProperties": false
}