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# to you under the Apache License, Version 2.0 (the
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# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# pylint: disable=invalid-name,unnecessary-comprehension
"""Testing functions for the RPC server."""
import numpy as np
import tvm
# RPC test functions to be registered for unit-tests purposes
@tvm.register_global_func("rpc.test.addone")
def _addone(x):
return x + 1
@tvm.register_global_func("rpc.test.strcat")
def _strcat(name, x):
return f"{name}:{x}"
@tvm.register_global_func("rpc.test.except")
def _remotethrow(name):
raise ValueError(f"{name}")
@tvm.register_global_func("rpc.test.runtime_str_concat")
def _strcat(x, y):
return x + y
@tvm.register_global_func("rpc.test.remote_tensor_func")
def _remote_tensor_func(y):
x = np.ones((3, 4))
np.testing.assert_equal(y.numpy(), x)
@tvm.register_global_func("rpc.test.add_to_lhs")
def _add_to_lhs(x):
return lambda y: x + y
@tvm.register_global_func("rpc.test.remote_return_nd")
def _my_module(name):
# Use closure to check the ref counter correctness
nd = tvm.runtime.tensor(np.zeros(10).astype("float32"))
if name == "get_arr":
return lambda: nd
if name == "ref_count":
return lambda: tvm.testing.object_use_count(nd)
if name == "get_elem":
return lambda idx: nd.numpy()[idx]
if name == "get_arr_elem":
return lambda arr, idx: arr.numpy()[idx]
raise RuntimeError("unknown name")