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/benchmark_generator.py (4912B)

#!/usr/bin/env python3

import string

import argparse

import numpy as np

from caffe2.python.model_helper import ModelHelper
from caffe2.python.predictor import mobile_exporter
from caffe2.python import core, workspace, brew, utils

def parse_kwarg(kwarg_str):
    key, value = map(string.strip, kwarg_str.split("=", 1))
    try:
        value = int(value)
    except ValueError:
        try:
            value = float(value)
        except ValueError:
            pass
    return key, value

def main(args):
    # User defined keyword arguments
    kwargs = {"order": "NCHW"}
    kwargs.update(dict(args.kwargs))

model = ModelHelper(name=args.benchmark_name)

op_type = args.operator  # assumes a brew type op name
    input_name = args.input_name
    output_name = args.output_name

iters = int(args.iters)
    for i in range(iters):
        input_blob_name = input_name + (str(i) if i > 0 and args.chain else '')
        output_blob_name = output_name + str(i + 1)
        add_op = getattr(brew, op_type)
        add_op(model, input_blob_name, output_blob_name, **kwargs)
        if args.chain:
            input_name, output_name = output_name, input_name

workspace.RunNetOnce(model.param_init_net)
    extra_init_net_ops = []

def make_blob_on_context(blob_name, blob_data, context):
        if context.upper() != "CPU":
            blob_name_modified = "{}_CPU".format(blob_name)
        else:  # CPU case is simple
            blob_name_modified = blob_name

fill_op = core.CreateOperator(
            "GivenTensorFill", [], [blob_name_modified],
            arg=[
                utils.MakeArgument("shape", blob_data.shape),
                utils.MakeArgument("values", blob_data)
            ]
        )
        extra_init_net_ops.append(fill_op)

# We need to create CPU blobs and add some copy operations in
        # the init_net
        if context.upper() == "OPENGL":
            copy_op = core.CreateOperator("CopyToOpenGL", [blob_name_modified],
                                          [blob_name])
            extra_init_net_ops.append(copy_op)

for unparsed_blob in args.blob:
        name, unparsed_dims = unparsed_blob.split('=')
        dims = [int(d) for d in unparsed_dims.split(',')]
        np_input = np.random.rand(*dims).astype(np.float32)
        make_blob_on_context(name, np_input, args.context)

init_net, predict_net = mobile_exporter.Export(
        workspace, model.net, model.params
    )
    init_net.op.extend(extra_init_net_ops)

# Handle manual rewrite
    if args.context.upper() == "OPENGL":
        old_ops = [op for op in predict_net.op]
        del predict_net.op[:]
        for op in old_ops:
            op.type = 'OpenGL{}'.format(op.type)
        predict_net.op.extend(old_ops)

if args.debug:
        print("init_net:")
        for op in init_net.op:
            print(" ", op.type, op.input, "-->", op.output)
        print("predict_net:")
        for op in predict_net.op:
            print(" ", op.type, op.input, "-->", op.output)

with open(args.predict_net, 'wb') as f:
        f.write(predict_net.SerializeToString())
    with open(args.init_net, 'wb') as f:
        f.write(init_net.SerializeToString())

if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description="Utilitity to generate Caffe2 benchmark models.")
    parser.add_argument("operator", help="Caffe2 operator to benchmark.")
    parser.add_argument("-b", "--blob",
                        help="Instantiate a blob --blob name=dim1,dim2,dim3",
                        action='append')
    parser.add_argument("--context", help="Context to run on.", default="CPU")
    parser.add_argument("--kwargs", help="kwargs to pass to operator.",
                        nargs="*", type=parse_kwarg, default=[])
    parser.add_argument("--init_net", help="Output initialization net.",
                        default="init_net.pb")
    parser.add_argument("--predict_net", help="Output prediction net.",
                        default="predict_net.pb")
    parser.add_argument("--benchmark_name",
                        help="Name of the benchmark network",
                        default="benchmark")
    parser.add_argument("--input_name", help="Name of the input blob.",
                        default="data")
    parser.add_argument("--output_name", help="Name of the output blob.",
                        default="output")
    parser.add_argument("--iters",
                        help="Number of iterations to run the operator.",
                        default="1")
    parser.add_argument("-d", "--debug", help="Print debug information.",
                        action='store_true')
    parser.add_argument("-c", "--chain",
                        help="Chain ops together (create data dependencies)",
                        action='store_true')
    args = parser.parse_args()
    main(args)

cmd: