def test_model23(self):
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(8, 7, act='identity', include_bias=False))
model1.add(BN(act='relu'))
model1.add(Pooling(2))
model1.add(Conv2d(8, 7, act='identity', include_bias=False))
model1.add(BN(act='relu'))
model1.add(Pooling(2))
model1.add(Dense(2))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path = caslibify(self.s, path=self.data_dir+'images.sashdat', task='load')
self.s.table.loadtable(caslib=caslib,
casout={'name': 'eee', 'replace': True},
path=path)
r = model1.fit(data='eee', inputs='_image_', target='_label_', max_epochs=1)
self.assertTrue(r.severity == 0)
model1.deploy(self.data_dir, output_format='onnx')
def test_model22_1(self):
try:
import onnx
except:
unittest.TestCase.skipTest(self, "onnx not found in the libraries")
from onnx import numpy_helper
import numpy as np
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(8, 7, act='identity', include_bias=False))
model1.add(Reshape(height=448, width=448, depth=2))
model1.add(Dense(2))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path = caslibify(self.s, path=self.data_dir+'images.sashdat', task='load')
self.s.table.loadtable(caslib=caslib,
casout={'name': 'eee', 'replace': True},
path=path)
r = model1.fit(data='eee', inputs='_image_', target='_label_', max_epochs=1)
self.assertTrue(r.severity == 0)
model1.deploy(self.data_dir_local, output_format='onnx')
model_path = os.path.join(self.data_dir_local, 'Simple_CNN1.onnx')
m = onnx.load(model_path)
self.assertEqual(m.graph.node[1].op_type, 'Reshape')
init = numpy_helper.to_array(m.graph.initializer[1])
self.assertTrue(np.array_equal(init, [ -1, 2, 448, 448]))
def test_astore_deploy_wrong_path(self):
from dlpy.sequential import Sequential
from dlpy.utils import caslibify
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(1, 17))
model1.add(Pooling(14))
model1.add(Dense(3))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(
self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path, tmp_caslib = caslibify(self.s,
path=self.data_dir +
'images.sashdat',
task='load')
self.s.table.loadtable(caslib=caslib,
casout={
'name': 'eee',
'replace': True
},
path=path)
r = model1.fit(data='eee',
inputs='_image_',
target='_label_',
save_best_weights=True)
self.assertTrue(r.severity == 0)
with self.assertRaises(DLPyError):
model1.deploy(path='/amran/komran', output_format='astore')
def test_model22(self):
try:
import onnx
except:
unittest.TestCase.skipTest(self, "onnx not found in the libraries")
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(8, 7))
pool1 = Pooling(2)
model1.add(pool1)
conv1 = Conv2d(1, 1, act='identity', src_layers=[pool1])
model1.add(conv1)
model1.add(Res(act='relu', src_layers=[conv1, pool1]))
model1.add(Pooling(2))
model1.add(Dense(2))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path = caslibify(self.s, path=self.data_dir+'images.sashdat', task='load')
self.s.table.loadtable(caslib=caslib,
casout={'name': 'eee', 'replace': True},
path=path)
r = model1.fit(data='eee', inputs='_image_', target='_label_', max_epochs=1)
self.assertTrue(r.severity == 0)
model1.deploy(self.data_dir, output_format='onnx')
def test_model20(self):
try:
import onnx
except:
unittest.TestCase.skipTest(self, "onnx not found in the libraries")
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(8, 7))
model1.add(Pooling(2))
model1.add(Conv2d(8, 7))
model1.add(Pooling(2))
model1.add(Dense(16))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path = caslibify(self.s, path=self.data_dir+'images.sashdat', task='load')
self.s.table.loadtable(caslib=caslib,
casout={'name': 'eee', 'replace': True},
path=path)
r = model1.fit(data='eee', inputs='_image_', target='_label_', max_epochs=1)
self.assertTrue(r.severity == 0)
model1.save_weights_csv(self.data_dir)
weights_path = os.path.join(self.data_dir, 'Simple_CNN1_weights.csv')
model1.deploy(self.data_dir_local, output_format='onnx', model_weights=weights_path)
def test_model15(self):
# test RECTIFIER activation for concat layer
try:
import onnx
except:
unittest.TestCase.skipTest(self, "onnx not found in the libraries")
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(8, 7))
pool1 = Pooling(2)
model1.add(pool1)
conv1 = Conv2d(1, 7, src_layers=[pool1])
conv2 = Conv2d(1, 7, src_layers=[pool1])
model1.add(conv1)
model1.add(conv2)
model1.add(Concat(act='RECTIFIER', src_layers=[conv1, conv2]))
model1.add(Pooling(2))
model1.add(Dense(2))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(
self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path, tmp_caslib = caslibify(self.s,
path=self.data_dir +
'images.sashdat',
task='load')
self.s.table.loadtable(caslib=caslib,
casout={
'name': 'eee',
'replace': True
},
path=path)
r = model1.fit(data='eee',
inputs='_image_',
target='_label_',
max_epochs=1)
self.assertTrue(r.severity == 0)
import tempfile
tmp_dir_to_dump = tempfile.gettempdir()
model1.deploy(tmp_dir_to_dump, output_format='onnx')
import os
os.remove(os.path.join(tmp_dir_to_dump, "Simple_CNN1.onnx"))
if (caslib is not None) and tmp_caslib:
self.s.retrieve('table.dropcaslib',
message_level='error',
caslib=caslib)
def test_model13(self):
# test dropout
try:
import onnx
except:
unittest.TestCase.skipTest(self, "onnx not found in the libraries")
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(
Conv2d(8, 7, act='IDENTITY', dropout=0.5, include_bias=False))
model1.add(BN(act='relu'))
model1.add(Pooling(2, pool='MEAN', dropout=0.5))
model1.add(
Conv2d(8, 7, act='IDENTITY', dropout=0.5, include_bias=False))
model1.add(BN(act='relu'))
model1.add(Pooling(2, pool='MEAN', dropout=0.5))
model1.add(Conv2d(8, 7, act='identity', include_bias=False))
model1.add(BN(act='relu'))
model1.add(Dense(16, act='IDENTITY', dropout=0.1))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(
self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path, tmp_caslib = caslibify(self.s,
path=self.data_dir +
'images.sashdat',
task='load')
self.s.table.loadtable(caslib=caslib,
casout={
'name': 'eee',
'replace': True
},
path=path)
r = model1.fit(data='eee',
inputs='_image_',
target='_label_',
max_epochs=2)
self.assertTrue(r.severity == 0)
import tempfile
tmp_dir_to_dump = tempfile.gettempdir()
model1.deploy(tmp_dir_to_dump, output_format='onnx')
import os
os.remove(os.path.join(tmp_dir_to_dump, "Simple_CNN1.onnx"))
if (caslib is not None) and tmp_caslib:
self.s.retrieve('table.dropcaslib',
message_level='error',
caslib=caslib)
def test_model4(self):
try:
import onnx
from onnx import numpy_helper
except:
unittest.TestCase.skipTest(self, "onnx not found in the libraries")
import numpy as np
model1 = Sequential(self.s, model_table='Simple_CNN1')
model1.add(InputLayer(3, 224, 224))
model1.add(Conv2d(8, 7, act='identity', include_bias=False))
model1.add(Reshape(height=448, width=448, depth=2, act='IDENTITY'))
model1.add(Reshape(height=448, width=448, depth=2, act='RECTIFIER'))
model1.add(Conv2d(8, 7, act='identity', include_bias=False))
model1.add(BN(act='relu'))
model1.add(Dense(2))
model1.add(OutputLayer(act='softmax', n=2))
if self.data_dir is None:
unittest.TestCase.skipTest(
self, "DLPY_DATA_DIR is not set in the environment variables")
caslib, path, tmp_caslib = caslibify(self.s,
path=self.data_dir +
'images.sashdat',
task='load')
self.s.table.loadtable(caslib=caslib,
casout={
'name': 'eee',
'replace': True
},
path=path)
r = model1.fit(data='eee',
inputs='_image_',
target='_label_',
max_epochs=1)
self.assertTrue(r.severity == 0)
if self.data_dir_local is None:
unittest.TestCase.skipTest(
self,
"DLPY_DATA_DIR_LOCAL is not set in the environment variables")
#model1.deploy(self.data_dir_local, output_format='onnx')
import tempfile
tmp_dir_to_dump = tempfile.gettempdir()
model1.deploy(tmp_dir_to_dump, output_format='onnx')
import os
model_path = os.path.join(tmp_dir_to_dump, 'Simple_CNN1.onnx')
m = onnx.load(model_path)
self.assertEqual(m.graph.node[1].op_type, 'Reshape')
init = numpy_helper.to_array(m.graph.initializer[1])
self.assertTrue(np.array_equal(init, [-1, 2, 448, 448]))
import os
os.remove(os.path.join(tmp_dir_to_dump, "Simple_CNN1.onnx"))
if (caslib is not None) and tmp_caslib:
self.s.retrieve('table.dropcaslib',
message_level='error',
caslib=caslib)
