# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/aiplatform/v1/tensorboard_data.proto

require 'google/protobuf'

require 'google/api/field_behavior_pb'
require 'google/cloud/aiplatform/v1/tensorboard_time_series_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n1google/cloud/aiplatform/v1/tensorboard_data.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x38google/cloud/aiplatform/v1/tensorboard_time_series.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xd8\x01\n\x0eTimeSeriesData\x12\'\n\x1atensorboard_time_series_id\x18\x01 \x01(\tB\x03\xe0\x41\x02\x12W\n\nvalue_type\x18\x02 \x01(\x0e\x32;.google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueTypeB\x06\xe0\x41\x02\xe0\x41\x05\x12\x44\n\x06values\x18\x03 \x03(\x0b\x32/.google.cloud.aiplatform.v1.TimeSeriesDataPointB\x03\xe0\x41\x02\"\x98\x02\n\x13TimeSeriesDataPoint\x12\x34\n\x06scalar\x18\x03 \x01(\x0b\x32\".google.cloud.aiplatform.v1.ScalarH\x00\x12?\n\x06tensor\x18\x04 \x01(\x0b\x32-.google.cloud.aiplatform.v1.TensorboardTensorH\x00\x12\x44\n\x05\x62lobs\x18\x05 \x01(\x0b\x32\x33.google.cloud.aiplatform.v1.TensorboardBlobSequenceH\x00\x12-\n\twall_time\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x0c\n\x04step\x18\x02 \x01(\x03\x42\x07\n\x05value\"\x17\n\x06Scalar\x12\r\n\x05value\x18\x01 \x01(\x01\"D\n\x11TensorboardTensor\x12\x12\n\x05value\x18\x01 \x01(\x0c\x42\x03\xe0\x41\x02\x12\x1b\n\x0eversion_number\x18\x02 \x01(\x05\x42\x03\xe0\x41\x01\"V\n\x17TensorboardBlobSequence\x12;\n\x06values\x18\x01 \x03(\x0b\x32+.google.cloud.aiplatform.v1.TensorboardBlob\"5\n\x0fTensorboardBlob\x12\x0f\n\x02id\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x11\n\x04\x64\x61ta\x18\x02 \x01(\x0c\x42\x03\xe0\x41\x01\x42\xd2\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x14TensorboardDataProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"

pool = Google::Protobuf::DescriptorPool.generated_pool

begin
  pool.add_serialized_file(descriptor_data)
rescue TypeError
  # Compatibility code: will be removed in the next major version.
  require 'google/protobuf/descriptor_pb'
  parsed = Google::Protobuf::FileDescriptorProto.decode(descriptor_data)
  parsed.clear_dependency
  serialized = parsed.class.encode(parsed)
  file = pool.add_serialized_file(serialized)
  warn "Warning: Protobuf detected an import path issue while loading generated file #{__FILE__}"
  imports = [
    ["google.protobuf.Timestamp", "google/protobuf/timestamp.proto"],
  ]
  imports.each do |type_name, expected_filename|
    import_file = pool.lookup(type_name).file_descriptor
    if import_file.name != expected_filename
      warn "- #{file.name} imports #{expected_filename}, but that import was loaded as #{import_file.name}"
    end
  end
  warn "Each proto file must use a consistent fully-qualified name."
  warn "This will become an error in the next major version."
end

module Google
  module Cloud
    module AIPlatform
      module V1
        TimeSeriesData = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TimeSeriesData").msgclass
        TimeSeriesDataPoint = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TimeSeriesDataPoint").msgclass
        Scalar = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Scalar").msgclass
        TensorboardTensor = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TensorboardTensor").msgclass
        TensorboardBlobSequence = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TensorboardBlobSequence").msgclass
        TensorboardBlob = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TensorboardBlob").msgclass
      end
    end
  end
end
