FM / python

/usr/local/lib64/python3.6/site-packages/caffe2/python/

/usr/local/lib64/python3.6/site-packages/caffe2/python

Name	Size	Mode	Actions
docs/	-	0755	rm
examples/	-	0755	rm
fakelowp/	-	0755	rm
helpers/	-	0755	rm
ideep/	-	0755	rm
layers/	-	0755	rm
mint/	-	0755	rm
mkl/	-	0755	rm
modeling/	-	0755	rm
models/	-	0755	rm
onnx/	-	0755	rm
operator_test/	-	0755	rm
predictor/	-	0755	rm
rnn/	-	0755	rm
serialized_test/	-	0755	rm
test/	-	0755	rm
trt/	-	0755	rm
__pycache__/	-	0755	rm
allcompare_test.py	2255	0644	edit dl rm
attention.py	12359	0644	edit dl rm
benchmark_generator.py	4912	0644	edit dl rm
binarysize.py	5521	0644	edit dl rm
brew.py	4762	0644	edit dl rm
brew_test.py	11739	0644	edit dl rm
build.py	153	0644	edit dl rm
cached_reader.py	4394	0644	edit dl rm
caffe2_pybind11_state.cpython-36m-x86_64-linux-gnu.so	48299712	0755	edit dl rm
caffe2_pybind11_state_gpu.cpython-36m-x86_64-linux-gnu.so	49048144	0755	edit dl rm
caffe_translator.py	35227	0644	edit dl rm
caffe_translator_test.py	3553	0644	edit dl rm
checkpoint.py	32101	0644	edit dl rm
checkpoint_test.py	13405	0644	edit dl rm
cnn.py	7626	0644	edit dl rm
context.py	2841	0644	edit dl rm
context_test.py	1792	0644	edit dl rm
control.py	19309	0644	edit dl rm
control_ops_grad.py	28893	0644	edit dl rm
control_ops_grad_test.py	1752	0644	edit dl rm
control_ops_util.py	10863	0644	edit dl rm
control_test.py	12276	0644	edit dl rm
convert.py	55	0644	edit dl rm
convert_test.py	201	0644	edit dl rm
convnet_benchmarks.py	20533	0644	edit dl rm
convnet_benchmarks_test.py	839	0644	edit dl rm
core.py	119400	0644	edit dl rm
core_gradients_test.py	38022	0644	edit dl rm
core_test.py	47683	0644	edit dl rm
crf.py	13250	0644	edit dl rm
crf_predict.py	1159	0644	edit dl rm
crf_viterbi_test.py	1663	0644	edit dl rm
dataio.py	23532	0644	edit dl rm
dataio_test.py	17575	0644	edit dl rm
dataset.py	12886	0644	edit dl rm
data_parallel_model.py	83100	0644	edit dl rm
data_parallel_model_test.py	56145	0644	edit dl rm
data_workers.py	15941	0644	edit dl rm
data_workers_test.py	6561	0644	edit dl rm
db_file_reader.py	6608	0644	edit dl rm
db_test.py	1110	0644	edit dl rm
device_checker.py	5157	0644	edit dl rm
dyndep.py	1533	0644	edit dl rm
embedding_generation_benchmark.py	5256	0644	edit dl rm
experiment_util.py	3625	0644	edit dl rm
extension_loader.py	744	0644	edit dl rm
fakefp16_transform_lib.py	322	0644	edit dl rm
filler_test.py	748	0644	edit dl rm
functional.py	4415	0644	edit dl rm
functional_test.py	4204	0644	edit dl rm
fused_8bit_rowwise_conversion_ops_test.py	3945	0644	edit dl rm
gradient_checker.py	15377	0644	edit dl rm
gradient_check_test.py	20729	0644	edit dl rm
gru_cell.py	5129	0644	edit dl rm
hip_test_util.py	405	0644	edit dl rm
hsm_util.py	2259	0644	edit dl rm
hypothesis_test.py	105762	0644	edit dl rm
hypothesis_test_util.py	26853	0644	edit dl rm
ideep_test_util.py	998	0644	edit dl rm
layers_test.py	92931	0644	edit dl rm
layer_model_helper.py	29340	0644	edit dl rm
layer_model_instantiator.py	3935	0644	edit dl rm
layer_parameter_sharing_test.py	9148	0644	edit dl rm
layer_test_util.py	4875	0644	edit dl rm
lazy.py	277	0644	edit dl rm
lazy_dyndep.py	2562	0644	edit dl rm
lazy_dyndep_test.py	3914	0644	edit dl rm
lengths_reducer_fused_8bit_rowwise_ops_test.py	7575	0644	edit dl rm
lengths_reducer_rowwise_8bit_ops_test.py	5710	0644	edit dl rm
lstm_benchmark.py	10649	0644	edit dl rm
memonger.py	34041	0644	edit dl rm
memonger_test.py	36910	0644	edit dl rm
mkl_test_util.py	1142	0644	edit dl rm
model_device_test.py	4777	0644	edit dl rm
model_helper.py	23492	0644	edit dl rm
model_helper_test.py	2336	0644	edit dl rm
modifier_context.py	1772	0644	edit dl rm
muji.py	8131	0644	edit dl rm
muji_test.py	3058	0644	edit dl rm
net_builder.py	27679	0644	edit dl rm
net_builder_test.py	11382	0644	edit dl rm
net_drawer.py	14264	0644	edit dl rm
net_printer.py	12704	0644	edit dl rm
net_printer_test.py	3190	0644	edit dl rm
nomnigraph.py	4216	0644	edit dl rm
nomnigraph_test.py	15427	0644	edit dl rm
nomnigraph_transformations.py	3787	0644	edit dl rm
nomnigraph_transformations_test.py	5767	0644	edit dl rm
normalizer.py	1411	0644	edit dl rm
normalizer_context.py	1007	0644	edit dl rm
normalizer_test.py	487	0644	edit dl rm
numa_benchmark.py	2230	0644	edit dl rm
numa_test.py	1663	0644	edit dl rm
observer_test.py	5316	0644	edit dl rm
operator_fp_exceptions_test.py	1248	0644	edit dl rm
optimizer.py	78813	0644	edit dl rm
optimizer_context.py	1462	0644	edit dl rm
optimizer_test.py	30705	0644	edit dl rm
optimizer_test_util.py	9187	0644	edit dl rm
parallelize_bmuf_distributed_test.py	9908	0644	edit dl rm
parallel_workers.py	7682	0644	edit dl rm
parallel_workers_test.py	3501	0644	edit dl rm
pipeline.py	17283	0644	edit dl rm
pipeline_test.py	2542	0644	edit dl rm
predictor_constants.py	198	0644	edit dl rm
python_op_test.py	9169	0644	edit dl rm
queue_util.py	4459	0644	edit dl rm
record_queue.py	4453	0644	edit dl rm
recurrent.py	13297	0644	edit dl rm
regularizer.py	21120	0644	edit dl rm
regularizer_context.py	1013	0644	edit dl rm
regularizer_test.py	10266	0644	edit dl rm
rnn_cell.py	68233	0644	edit dl rm
schema.py	45621	0644	edit dl rm
schema_test.py	15754	0644	edit dl rm
scope.py	3623	0644	edit dl rm
scope_test.py	5249	0644	edit dl rm
session.py	7642	0644	edit dl rm
session_test.py	2078	0644	edit dl rm
sparse_to_dense_mask_test.py	6565	0644	edit dl rm
sparse_to_dense_test.py	3556	0644	edit dl rm
task.py	24274	0644	edit dl rm
task_test.py	870	0644	edit dl rm
test_util.py	3524	0644	edit dl rm
text_file_reader.py	1990	0644	edit dl rm
timeout_guard.py	4054	0644	edit dl rm
toy_regression_test.py	2822	0644	edit dl rm
transformations.py	1832	0644	edit dl rm
transformations_test.py	11960	0644	edit dl rm
tt_core.py	9349	0644	edit dl rm
tt_core_test.py	2518	0644	edit dl rm
utils.py	14181	0644	edit dl rm
utils_test.py	1399	0644	edit dl rm
visualize.py	6315	0644	edit dl rm
workspace.py	25263	0644	edit dl rm
workspace_test.py	34844	0644	edit dl rm
_import_c_extension.py	2250	0644	edit dl rm
__init__.py	3925	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/model_device_test.py (4777B)

import numpy as np
import unittest

from caffe2.proto import caffe2_pb2
from caffe2.python import (
    workspace,
    device_checker,
    test_util,
    model_helper,
    brew,
)

class TestMiniAlexNet(test_util.TestCase):

def _MiniAlexNetNoDropout(self, order):
        # First, AlexNet using the cnn wrapper.
        model = model_helper.ModelHelper(name="alexnet")
        conv1 = brew.conv(
            model,
            "data",
            "conv1",
            3,
            16,
            11,
            ("XavierFill", {}),
            ("ConstantFill", {}),
            stride=4,
            pad=0
        )
        relu1 = brew.relu(model, conv1, "relu1")
        norm1 = brew.lrn(model, relu1, "norm1", size=5, alpha=0.0001, beta=0.75)
        pool1 = brew.max_pool(model, norm1, "pool1", kernel=3, stride=2)
        conv2 = brew.group_conv(
            model,
            pool1,
            "conv2",
            16,
            32,
            5,
            ("XavierFill", {}),
            ("ConstantFill", {"value": 0.1}),
            group=2,
            stride=1,
            pad=2
        )
        relu2 = brew.relu(model, conv2, "relu2")
        norm2 = brew.lrn(model, relu2, "norm2", size=5, alpha=0.0001, beta=0.75)
        pool2 = brew.max_pool(model, norm2, "pool2", kernel=3, stride=2)
        conv3 = brew.conv(
            model,
            pool2,
            "conv3",
            32,
            64,
            3,
            ("XavierFill", {'std': 0.01}),
            ("ConstantFill", {}),
            pad=1
        )
        relu3 = brew.relu(model, conv3, "relu3")
        conv4 = brew.group_conv(
            model,
            relu3,
            "conv4",
            64,
            64,
            3,
            ("XavierFill", {}),
            ("ConstantFill", {"value": 0.1}),
            group=2,
            pad=1
        )
        relu4 = brew.relu(model, conv4, "relu4")
        conv5 = brew.group_conv(
            model,
            relu4,
            "conv5",
            64,
            32,
            3,
            ("XavierFill", {}),
            ("ConstantFill", {"value": 0.1}),
            group=2,
            pad=1
        )
        relu5 = brew.relu(model, conv5, "relu5")
        pool5 = brew.max_pool(model, relu5, "pool5", kernel=3, stride=2)
        fc6 = brew.fc(
            model, pool5, "fc6", 1152, 1024, ("XavierFill", {}),
            ("ConstantFill", {"value": 0.1})
        )
        relu6 = brew.relu(model, fc6, "relu6")
        fc7 = brew.fc(
            model, relu6, "fc7", 1024, 1024, ("XavierFill", {}),
            ("ConstantFill", {"value": 0.1})
        )
        relu7 = brew.relu(model, fc7, "relu7")
        fc8 = brew.fc(
            model, relu7, "fc8", 1024, 5, ("XavierFill", {}),
            ("ConstantFill", {"value": 0.0})
        )
        pred = brew.softmax(model, fc8, "pred")
        xent = model.LabelCrossEntropy([pred, "label"], "xent")
        loss = model.AveragedLoss([xent], ["loss"])
        model.AddGradientOperators([loss])
        return model

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 = workspace.GpuDeviceType

checker = device_checker.DeviceChecker(0.05, [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)

@unittest.skipIf(not workspace.has_gpu_support,
                     "No GPU support. Skipping test.")
    def testMiniAlexNetNCHW(self):
        self._testMiniAlexNet("NCHW")

# No Group convolution support for NHWC right now
    #@unittest.skipIf(not workspace.has_gpu_support,
    #                 "No GPU support. Skipping test.")
    #def testMiniAlexNetNHWC(self):
    #    self._testMiniAlexNet("NHWC")

if __name__ == '__main__':
    unittest.main()

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