Class ScaleTier (1.10.2)

Version latest

• 1.10.3 (latest)
• 1.10.2
• 1.9.0
• 1.8.0
• 1.7.1
• 1.6.1
• 1.5.1
• 1.4.4
• 1.3.2
• 1.2.1
• 1.1.1
• 1.0.0
• 0.4.3
• 0.3.2
• 0.2.0
• 0.1.2

ScaleTier(value)

Required. Specifies the machine types, the number of replicas for workers and parameter servers.

Values: SCALE_TIER_UNSPECIFIED (0): Unspecified Scale Tier. BASIC (1): A single worker instance. This tier is suitable for learning how to use Cloud ML, and for experimenting with new models using small datasets. STANDARD_1 (2): Many workers and a few parameter servers. PREMIUM_1 (3): A large number of workers with many parameter servers. BASIC_GPU (4): A single worker instance with a K80 GPU. BASIC_TPU (5): A single worker instance with a Cloud TPU. CUSTOM (6): The CUSTOM tier is not a set tier, but rather enables you to use your own cluster specification. When you use this tier, set values to configure your processing cluster according to these guidelines:

    -  You *must* set `ExecutionTemplate.masterType` to
       specify the type of machine to use for your master node.
       This is the only required setting.