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test_op_grad_level10.py
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test_op_grad_level10.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import pytest
from tvm import relay
from tvm.relay.testing import check_grad
def test_cross_entropy_grad():
x = relay.var("x", shape=(2, 5))
y = relay.var("y", shape=(2, 5))
check_grad(relay.Function([x, y], relay.op.nn.cross_entropy(x, y)), eps=0.01, scale=0.1, mean=1)
def test_cross_entropy_with_logits_grad():
x = relay.var("x", shape=(2, 5))
y = relay.var("y", shape=(2, 5))
check_grad(relay.Function([x, y], relay.op.nn.cross_entropy_with_logits(x, y)), eps=0.01, scale=0.1, mean=1)
def test_checkpoint():
inputs = [relay.var("x{}".format(i), shape=(1,)) for i in range(4)]
output = relay.multiply(relay.add(inputs[0], inputs[1]),
relay.add(inputs[2], inputs[3]))
check_grad(relay.Function(inputs, relay.annotation.checkpoint(output)))
out_tuple = relay.Tuple([relay.add(inputs[0], inputs[1]),
relay.multiply(inputs[2], inputs[3])])
out_single = relay.subtract(relay.TupleGetItem(relay.annotation.checkpoint(out_tuple), 0),
relay.TupleGetItem(out_tuple, 1))
check_grad(relay.Function(inputs, out_single))
def test_batch_matmul_grad():
x = relay.var("x", shape=(2, 3, 5), dtype="float64")
y = relay.var("y", shape=(2, 4, 5), dtype="float64")
check_grad(relay.Function([x, y], relay.op.nn.batch_matmul(x, y)))
if __name__ == "__main__":
pytest.main([__file__])