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/layer_model_instantiator.py (3935B)

## @package layer_model_instantiator
# Module caffe2.python.layer_model_instantiator

from caffe2.python import core, schema
from caffe2.python.layers.layers import InstantiationContext
from caffe2.python.layers.tags import Tags

def _filter_layers(layers, include_tags):
    if include_tags is None:
        return layers
    include_tags = set(include_tags)
    return [l for l in layers if not include_tags.isdisjoint(l.tags)]

def shrink_output_schema(net, out_schema):
    if len(out_schema.field_names()) <= 1:
        return out_schema
    exists = [net.BlobIsDefined(blob) for blob in out_schema.field_blobs()]
    return schema.from_column_list(
        [
            col_name for ok, col_name in
            zip(exists, out_schema.field_names()) if ok
        ],
        [
            col_type for ok, col_type in
            zip(exists, out_schema.field_types()) if ok
        ],
        [
            col_blob for ok, col_blob in
            zip(exists, out_schema.field_blobs()) if ok
        ],
        [
            col_meta for ok, col_meta in
            zip(exists, out_schema.field_metadata()) if ok
        ]
    )

def generate_predict_net(model, include_tags=None):
    predict_net = core.Net('predict_net')

for layer in _filter_layers(model.layers, include_tags):
        if Tags.EXCLUDE_FROM_PREDICTION not in layer.tags:
            layer.add_operators(
                predict_net, context=InstantiationContext.PREDICTION)

predict_net.set_input_record(model.input_feature_schema.clone())
    output_schema = shrink_output_schema(
        predict_net, model.output_schema.clone()
    )
    predict_net.set_output_record(output_schema)
    return predict_net

def generate_eval_net(model, include_tags=None):
    eval_net = core.Net('eval_net')

for layer in _filter_layers(model.layers, include_tags):
        if Tags.EXCLUDE_FROM_EVAL not in layer.tags:
            layer.add_operators(eval_net, context=InstantiationContext.EVAL)

input_schema = model.input_feature_schema + model.trainer_extra_schema
    eval_net.set_input_record(input_schema)
    output_schema = shrink_output_schema(
        eval_net, model.output_schema + model.metrics_schema
    )
    eval_net.set_output_record(output_schema)
    return eval_net

def _generate_training_net_only(model, include_tags=None):
    train_net = core.Net('train_net')
    train_init_net = model.create_init_net('train_init_net')

for layer in _filter_layers(model.layers, include_tags):
        if Tags.EXCLUDE_FROM_TRAIN not in layer.tags:
            layer.add_operators(train_net, train_init_net)

input_schema = model.input_feature_schema + model.trainer_extra_schema
    train_net.set_input_record(input_schema)
    output_schema = shrink_output_schema(
        train_net, model.output_schema + model.metrics_schema
    )
    train_net.set_output_record(output_schema)
    return train_init_net, train_net

def generate_training_nets_forward_only(model, include_tags=None):
    train_init_net, train_net = _generate_training_net_only(model, include_tags)
    return train_init_net, train_net

def generate_training_nets(model, include_tags=None):
    train_init_net, train_net = _generate_training_net_only(model, include_tags)

model.apply_regularizers_on_loss(train_net, train_init_net)
    if not model.has_loss():
        return train_init_net, train_net
    loss = model.loss
    grad_map = train_net.AddGradientOperators(loss.field_blobs())
    model.apply_post_grad_net_modifiers(train_net, train_init_net, grad_map,
                                        modify_output_record=True)
    model.apply_optimizers(train_net, train_init_net, grad_map)
    model.apply_regularizers_after_optimizer(train_net, train_init_net, grad_map)
    model.apply_final_net_modifiers(train_net, train_init_net, grad_map,
                                    modify_output_record=True)

return train_init_net, train_net

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