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Regenerate documentation

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Joshua Brule
2020-06-30 16:57:32 -04:00
parent de67e807f7
commit 148728e2c9
1 changed files with 21 additions and 6 deletions
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docs/lantern/index.html
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@@ -46,6 +46,21 @@ The 'public' API includes:
- as_z3(model, sort, prefix)
"""
# Copyright 2020 The Johns Hopkins University Applied Physics Laboratory LLC
# All rights reserved.
#
# Licensed under the 3-Caluse BSD License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# 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 copy
import struct
from collections import OrderedDict
@@ -239,7 +254,7 @@ def as_z3(model, sort=z3.RealSort(), prefix=""):
elif isinstance(module, nn.ReLU):
in_vector = previous_vector
if in_vector is None:
raise Exception("First layer must be linear")
raise ValueError("First layer must be linear")
out_vector = const_vector("{}_relu{}_out".format(prefix, name),
len(in_vector), sort)
@@ -249,7 +264,7 @@ def as_z3(model, sort=z3.RealSort(), prefix=""):
elif isinstance(module, nn.Hardtanh):
in_vector = previous_vector
if in_vector is None:
raise Exception("First layer must be linear")
raise ValueError("First layer must be linear")
out_vector = const_vector("{}_tanh{}_out".format(prefix, name),
len(in_vector), sort)
@@ -262,7 +277,7 @@ def as_z3(model, sort=z3.RealSort(), prefix=""):
elif isinstance(module, nn.Identity):
pass
else:
raise Exception("Don't know how to convert module: {}".format(module))
raise ValueError("Don't know how to convert module: {}".format(module))
previous_vector = out_vector
@@ -363,7 +378,7 @@ characteristics compared to a real arithmetic theory</p>
elif isinstance(module, nn.ReLU):
in_vector = previous_vector
if in_vector is None:
raise Exception(&#34;First layer must be linear&#34;)
raise ValueError(&#34;First layer must be linear&#34;)
out_vector = const_vector(&#34;{}_relu{}_out&#34;.format(prefix, name),
len(in_vector), sort)
@@ -373,7 +388,7 @@ characteristics compared to a real arithmetic theory</p>
elif isinstance(module, nn.Hardtanh):
in_vector = previous_vector
if in_vector is None:
raise Exception(&#34;First layer must be linear&#34;)
raise ValueError(&#34;First layer must be linear&#34;)
out_vector = const_vector(&#34;{}_tanh{}_out&#34;.format(prefix, name),
len(in_vector), sort)
@@ -386,7 +401,7 @@ characteristics compared to a real arithmetic theory</p>
elif isinstance(module, nn.Identity):
pass
else:
raise Exception(&#34;Don&#39;t know how to convert module: {}&#34;.format(module))
raise ValueError(&#34;Don&#39;t know how to convert module: {}&#34;.format(module))
previous_vector = out_vector