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import torch._C._lazy
import torch._C._lazy_ts_backend
def get_tensors_ts_device_data_node(tensors):
"""Return tensor ids and eager tensors for DeviceData nodes in the
IR for the passed in lazy tensors.
TODO: This API is currently ts backend specific. We are working on
generalizing it to all backends including XLA.
"""
return torch._C._lazy_ts_backend._get_tensors_ts_device_data_node(tensors)
def get_graph_hash(tensors):
"""Return the graph hash for the passed in lazy tensors"""
return torch._C._lazy._get_graph_hash(tensors)
def run_cached_graph(hash_str, graph_inputs):
"""Running the cached computation graph with the given inputs
TODO: This API is currently ts backend specific. We are working on
generalizing it to all backends including XLA.
"""
return torch._C._lazy_ts_backend._run_cached_graph(hash_str, graph_inputs)
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