mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
180 lines
6.9 KiB
Python
180 lines
6.9 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from caffe2.python import core, workspace, test_util
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from caffe2.python.transformations import addNNPACK, fuseNNPACKConvRelu
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def str_compare(a, b, encoding="utf8"):
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if isinstance(a, bytes):
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a = a.decode(encoding)
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if isinstance(b, bytes):
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b = b.decode(encoding)
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return a == b
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class TestTransformations(test_util.TestCase):
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def test_addNNPACK(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y2"])
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addNNPACK(net)
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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def test_fuseNNPACKConvRelu(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y2"])
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 1)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation"):
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assert str_compare(arg.s, "Relu")
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has_activation_arg = True
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assert has_activation_arg
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def test_noFuseNNPACKConvRelu(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y2"])
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net.Relu(["Y"], ["Y3"])
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 3)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation") and str_compare(arg.s, "Relu"):
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has_activation_arg = True
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assert not has_activation_arg
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def test_fuseNNPACKConvReluNoInplace(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["X"])
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 1)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation"):
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assert str_compare(arg.s, "Relu")
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has_activation_arg = True
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assert has_activation_arg
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assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
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def test_fuseNNPACKConvReluInplaceRelu(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y"])
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 1)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation"):
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assert str_compare(arg.s, "Relu")
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has_activation_arg = True
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assert has_activation_arg
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assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
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def test_fuseNNPACKConvReluPingPongNaming(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["X"])
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 2)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation"):
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assert str_compare(arg.s, "Relu")
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has_activation_arg = True
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assert has_activation_arg
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assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
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assert net.Proto().op[1].output[0] != net.Proto().op[1].input[0]
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def test_fuseNNPACKConvReluFollowedByMultipleInputOp(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y2"])
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net.Conv(
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["Y2", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y2"])
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 2)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation"):
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assert str_compare(arg.s, "Relu")
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has_activation_arg = True
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assert has_activation_arg
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assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
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assert net.Proto().op[1].output[0] != net.Proto().op[1].input[0]
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def test_fuseNNPACKConvReluInplaceFollowedByMultipleInputOp(self):
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net = core.Net("net")
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net.Conv(
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["X", "w", "b"], ["Y"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y"], ["Y"])
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net.Conv(
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["Y", "w", "b"], ["Y2"], stride=1, pad=0, kernel=3, order="NCHW"
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)
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net.Relu(["Y2"], ["Y2"])
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addNNPACK(net) # get the NNPACK engine
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assert str_compare(net.Proto().op[0].engine, "NNPACK")
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fuseNNPACKConvRelu(net)
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assert (len(net.Proto().op) == 2)
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has_activation_arg = False
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for arg in net.Proto().op[0].arg:
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if str_compare(arg.name, "activation"):
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assert str_compare(arg.s, "Relu")
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has_activation_arg = True
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assert has_activation_arg
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assert net.Proto().op[0].output[0] != net.Proto().op[0].input[0]
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assert net.Proto().op[1].output[0] != net.Proto().op[1].input[0]
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