In tensorflow1.x，有一个选项，例如use_unified_memory and per_process_gpu_memory_fraction这有可能触发 CUDA UVM 的使用。但这怎么能在tensorflow 2.0?
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/protobuf/config.proto https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/protobuf/config.proto
// If true, uses CUDA unified memory for memory allocations. If
// per_process_gpu_memory_fraction option is greater than 1.0, then unified
// memory is used regardless of the value for this field. See comments for
// per_process_gpu_memory_fraction field for more details and requirements
// of the unified memory. This option is useful to oversubscribe memory if
// multiple processes are sharing a single GPU while individually using less
// than 1.0 per process memory fraction.
bool use_unified_memory = 2;
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
config = ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 2
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)
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