def _testMiniAlexNet(self, order):
# First, we get all the random initialization of parameters.
model = self._MiniAlexNetNoDropout(order)
workspace.ResetWorkspace()
workspace.RunNetOnce(model.param_init_net)
inputs = dict([(str(name), workspace.FetchBlob(str(name)))
for name in model.params])
if order == "NCHW":
inputs["data"] = np.random.rand(4, 3, 227, 227).astype(np.float32)
else:
inputs["data"] = np.random.rand(4, 227, 227, 3).astype(np.float32)
inputs["label"] = np.array([1, 2, 3, 4]).astype(np.int32)
cpu_device = caffe2_pb2.DeviceOption()
cpu_device.device_type = caffe2_pb2.CPU
gpu_device = caffe2_pb2.DeviceOption()
gpu_device.device_type = caffe2_pb2.CUDA
checker = device_checker.DeviceChecker(1e-5, [cpu_device, gpu_device])
ret = checker.CheckNet(
model.net.Proto(),
inputs,
# The indices sometimes may be sensitive to small numerical differences
# in the input, so we ignore checking them.
ignore=['_pool1_idx', '_pool2_idx', '_pool5_idx'])
self.assertEqual(ret, True)
def testMNISTNetworks(self):
# First, we get all the random initialization of parameters.
init_net, train_net = self._MNISTNetworks()
workspace.ResetWorkspace()
workspace.RunNetOnce(init_net)
inputs = dict([(str(name), workspace.FetchBlob(str(name)))
for name in workspace.Blobs()])
cpu_device = caffe2_pb2.DeviceOption()
cpu_device.device_type = caffe2_pb2.CPU
gpu_device = caffe2_pb2.DeviceOption()
gpu_device.device_type = caffe2_pb2.CUDA
checker = device_checker.DeviceChecker(1e-2, [cpu_device, gpu_device])
ret = checker.CheckNet(train_net.Proto(), inputs)
self.assertEqual(ret, True)
import numpy as np
from pycaffe2 import core, device_checker, gradient_checker, workspace
from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
import sys
import unittest
if workspace.has_gpu_support and workspace.NumberOfGPUs() > 0:
gpu_device_option = caffe2_pb2.DeviceOption()
gpu_device_option.device_type = caffe2_pb2.CUDA
cpu_device_option = caffe2_pb2.DeviceOption()
device_checker = device_checker.DeviceChecker(
0.01, [gpu_device_option, cpu_device_option])
gradient_checkers = [
gradient_checker.GradientChecker(0.005, 0.05, gpu_device_option,
"gpu_checker_ws"),
gradient_checker.GradientChecker(0.01, 0.05, cpu_device_option,
"cpu_checker_ws"),
]
else:
cpu_device_option = caffe2_pb2.DeviceOption()
device_checker = device_checker.DeviceChecker(0.01, [cpu_device_option])
gradient_checkers = [
gradient_checker.GradientChecker(0.01, 0.05, cpu_device_option,
"cpu_checker_ws")
]
class TestConvLegacyPooling(unittest.TestCase):
def setUp(self):
self.test_configs = [