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