mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
191 lines
7.3 KiB
Python
191 lines
7.3 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
|
|
#
|
|
# Licensed 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.
|
|
##############################################################################
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
from caffe2.python import core, workspace, test_util
|
|
|
|
from caffe2.python.transformations import addNNPACK, fuseNNPACKConvRelu, sinkMaxPool
|
|
|
|
def str_compare(a, b, encoding="utf8"):
|
|
if isinstance(a, bytes):
|
|
a = a.decode(encoding)
|
|
if isinstance(b, bytes):
|
|
b = b.decode(encoding)
|
|
return a == b
|
|
|
|
class TestTransformations(test_util.TestCase):
|
|
def test_addNNPACK(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y2"])
|
|
addNNPACK(net)
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
|
|
|
|
def test_fuseNNPACKConvRelu(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y2"])
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 1)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation"):
|
|
assert str_compare(arg.s, "Relu")
|
|
has_activation_arg = True
|
|
assert has_activation_arg
|
|
|
|
def test_noFuseNNPACKConvRelu(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y2"])
|
|
net.Relu(["Y"], ["Y3"])
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 3)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation") and str_compare(arg.s, "Relu"):
|
|
has_activation_arg = True
|
|
assert not has_activation_arg
|
|
|
|
def test_fuseNNPACKConvReluNoInplace(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["X"])
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 1)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation"):
|
|
assert str_compare(arg.s, "Relu")
|
|
has_activation_arg = True
|
|
assert has_activation_arg
|
|
assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
|
|
|
|
def test_fuseNNPACKConvReluInplaceRelu(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y"])
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 1)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation"):
|
|
assert str_compare(arg.s, "Relu")
|
|
has_activation_arg = True
|
|
assert has_activation_arg
|
|
assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
|
|
|
|
def test_fuseNNPACKConvReluPingPongNaming(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["X"])
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 2)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation"):
|
|
assert str_compare(arg.s, "Relu")
|
|
has_activation_arg = True
|
|
assert has_activation_arg
|
|
assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
|
|
assert net.Proto().op[1].output[0] != net.Proto().op[1].input[0]
|
|
|
|
def test_fuseNNPACKConvReluFollowedByMultipleInputOp(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y2"])
|
|
net.Conv(
|
|
["Y2", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y2"])
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 2)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation"):
|
|
assert str_compare(arg.s, "Relu")
|
|
has_activation_arg = True
|
|
assert has_activation_arg
|
|
assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
|
|
assert net.Proto().op[1].output[0] != net.Proto().op[1].input[0]
|
|
|
|
def test_fuseNNPACKConvReluInplaceFollowedByMultipleInputOp(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y"], ["Y"])
|
|
net.Conv(
|
|
["Y", "w", "b"], ["Y2"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.Relu(["Y2"], ["Y2"])
|
|
addNNPACK(net) # get the NNPACK engine
|
|
assert str_compare(net.Proto().op[0].engine, "NNPACK")
|
|
fuseNNPACKConvRelu(net)
|
|
assert (len(net.Proto().op) == 2)
|
|
has_activation_arg = False
|
|
for arg in net.Proto().op[0].arg:
|
|
if str_compare(arg.name, "activation"):
|
|
assert str_compare(arg.s, "Relu")
|
|
has_activation_arg = True
|
|
assert has_activation_arg
|
|
assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
|
|
assert net.Proto().op[1].output[0] != net.Proto().op[1].input[0]
|
|
|
|
def test_sinkMaxPool(self):
|
|
net = core.Net("net")
|
|
net.Conv(
|
|
["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
|
|
)
|
|
net.MaxPool(["Y"], ["Y1"], kernel=3)
|
|
net.Relu(["Y1"], ["Y1"])
|
|
sinkMaxPool(net)
|
|
assert str_compare(net.Proto().op[1].type, "Relu")
|
|
assert str_compare(net.Proto().op[2].type, "MaxPool")
|