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/data_workers_test.py (6561B)

import numpy as np
import unittest
import time

from caffe2.python import workspace, model_helper
from caffe2.python import timeout_guard
import caffe2.python.data_workers as data_workers

def dummy_fetcher(fetcher_id, batch_size):
    # Create random amount of values
    n = np.random.randint(64) + 1
    data = np.zeros((n, 3))
    labels = []
    for j in range(n):
        data[j, :] *= (j + fetcher_id)
        labels.append(data[j, 0])

return [np.array(data), np.array(labels)]

def dummy_fetcher_rnn(fetcher_id, batch_size):
    # Hardcoding some input blobs
    T = 20
    N = batch_size
    D = 33
    data = np.random.rand(T, N, D)
    label = np.random.randint(N, size=(T, N))
    seq_lengths = np.random.randint(N, size=(N))
    return [data, label, seq_lengths]

class DataWorkersTest(unittest.TestCase):

def testNonParallelModel(self):
        workspace.ResetWorkspace()

model = model_helper.ModelHelper(name="test")
        old_seq_id = data_workers.global_coordinator._fetcher_id_seq
        coordinator = data_workers.init_data_input_workers(
            model,
            ["data", "label"],
            dummy_fetcher,
            32,
            2,
            input_source_name="unittest"
        )
        new_seq_id = data_workers.global_coordinator._fetcher_id_seq
        self.assertEqual(new_seq_id, old_seq_id + 2)

coordinator.start()

workspace.RunNetOnce(model.param_init_net)
        workspace.CreateNet(model.net)

for _i in range(500):
            with timeout_guard.CompleteInTimeOrDie(5):
                workspace.RunNet(model.net.Proto().name)

data = workspace.FetchBlob("data")
            labels = workspace.FetchBlob("label")

self.assertEqual(data.shape[0], labels.shape[0])
            self.assertEqual(data.shape[0], 32)

for j in range(32):
                self.assertEqual(labels[j], data[j, 0])
                self.assertEqual(labels[j], data[j, 1])
                self.assertEqual(labels[j], data[j, 2])

coordinator.stop_coordinator("unittest")
        self.assertEqual(coordinator._coordinators, [])

def testRNNInput(self):
        workspace.ResetWorkspace()
        model = model_helper.ModelHelper(name="rnn_test")
        old_seq_id = data_workers.global_coordinator._fetcher_id_seq
        coordinator = data_workers.init_data_input_workers(
            model,
            ["data1", "label1", "seq_lengths1"],
            dummy_fetcher_rnn,
            32,
            2,
            dont_rebatch=False,
            batch_columns=[1, 1, 0],
        )
        new_seq_id = data_workers.global_coordinator._fetcher_id_seq
        self.assertEqual(new_seq_id, old_seq_id + 2)

coordinator.start()

workspace.RunNetOnce(model.param_init_net)
        workspace.CreateNet(model.net)

while coordinator._coordinators[0]._state._inputs < 100:
            time.sleep(0.01)

# Run a couple of rounds
        workspace.RunNet(model.net.Proto().name)
        workspace.RunNet(model.net.Proto().name)

# Wait for the enqueue thread to get blocked
        time.sleep(0.2)

# We don't dequeue on caffe2 side (as we don't run the net)
        # so the enqueue thread should be blocked.
        # Let's now shutdown and see it succeeds.
        self.assertTrue(coordinator.stop())

@unittest.skip("Test is flaky: https://github.com/pytorch/pytorch/issues/9064")
    def testInputOrder(self):
        #
        # Create two models (train and validation) with same input blobs
        # names and ensure that both will get the data in correct order
        #
        workspace.ResetWorkspace()
        self.counters = {0: 0, 1: 1}

def dummy_fetcher_rnn_ordered1(fetcher_id, batch_size):
            # Hardcoding some input blobs
            T = 20
            N = batch_size
            D = 33
            data = np.zeros((T, N, D))
            data[0][0][0] = self.counters[fetcher_id]
            label = np.random.randint(N, size=(T, N))
            label[0][0] = self.counters[fetcher_id]
            seq_lengths = np.random.randint(N, size=(N))
            seq_lengths[0] = self.counters[fetcher_id]
            self.counters[fetcher_id] += 1
            return [data, label, seq_lengths]

workspace.ResetWorkspace()
        model = model_helper.ModelHelper(name="rnn_test_order")

coordinator = data_workers.init_data_input_workers(
            model,
            input_blob_names=["data2", "label2", "seq_lengths2"],
            fetch_fun=dummy_fetcher_rnn_ordered1,
            batch_size=32,
            max_buffered_batches=1000,
            num_worker_threads=1,
            dont_rebatch=True,
            input_source_name='train'
        )
        coordinator.start()

val_model = model_helper.ModelHelper(name="rnn_test_order_val")
        coordinator1 = data_workers.init_data_input_workers(
            val_model,
            input_blob_names=["data2", "label2", "seq_lengths2"],
            fetch_fun=dummy_fetcher_rnn_ordered1,
            batch_size=32,
            max_buffered_batches=1000,
            num_worker_threads=1,
            dont_rebatch=True,
            input_source_name='val'
        )
        coordinator1.start()

workspace.RunNetOnce(model.param_init_net)
        workspace.CreateNet(model.net)
        workspace.CreateNet(val_model.net)

while coordinator._coordinators[0]._state._inputs < 900:
            time.sleep(0.01)

with timeout_guard.CompleteInTimeOrDie(5):
            for m in (model, val_model):
                print(m.net.Proto().name)
                workspace.RunNet(m.net.Proto().name)
                last_data = workspace.FetchBlob('data2')[0][0][0]
                last_lab = workspace.FetchBlob('label2')[0][0]
                last_seq = workspace.FetchBlob('seq_lengths2')[0]

# Run few rounds
                for _i in range(10):
                    workspace.RunNet(m.net.Proto().name)
                    data = workspace.FetchBlob('data2')[0][0][0]
                    lab = workspace.FetchBlob('label2')[0][0]
                    seq = workspace.FetchBlob('seq_lengths2')[0]
                    self.assertEqual(data, last_data + 1)
                    self.assertEqual(lab, last_lab + 1)
                    self.assertEqual(seq, last_seq + 1)
                    last_data = data
                    last_lab = lab
                    last_seq = seq

time.sleep(0.2)

self.assertTrue(coordinator.stop())

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