FM / python

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

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

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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/gru_cell.py (5129B)

import functools
from caffe2.python import brew, rnn_cell

class GRUCell(rnn_cell.RNNCell):

def __init__(
        self,
        input_size,
        hidden_size,
        forget_bias,  # Currently unused!  Values here will be ignored.
        memory_optimization,
        drop_states=False,
        linear_before_reset=False,
        **kwargs
    ):
        super(GRUCell, self).__init__(**kwargs)
        self.input_size = input_size
        self.hidden_size = hidden_size
        self.forget_bias = float(forget_bias)
        self.memory_optimization = memory_optimization
        self.drop_states = drop_states
        self.linear_before_reset = linear_before_reset

# Unlike LSTMCell, GRUCell needs the output of one gate to feed into another.
    # (reset gate -> output_gate)
    # So, much of the logic to calculate the reset gate output and modified
    # output gate input is set here, in the graph definition.
    # The remaining logic lives in in gru_unit_op.{h,cc}.
    def _apply(
        self,
        model,
        input_t,
        seq_lengths,
        states,
        timestep,
        extra_inputs=None,
    ):
        hidden_t_prev = states[0]

# Split input tensors to get inputs for each gate.
        input_t_reset, input_t_update, input_t_output = model.net.Split(
            [
                input_t,
            ],
            [
                self.scope('input_t_reset'),
                self.scope('input_t_update'),
                self.scope('input_t_output'),
            ],
            axis=2,
        )

# Fully connected layers for reset and update gates.
        reset_gate_t = brew.fc(
            model,
            hidden_t_prev,
            self.scope('reset_gate_t'),
            dim_in=self.hidden_size,
            dim_out=self.hidden_size,
            axis=2,
        )
        update_gate_t = brew.fc(
            model,
            hidden_t_prev,
            self.scope('update_gate_t'),
            dim_in=self.hidden_size,
            dim_out=self.hidden_size,
            axis=2,
        )

# Calculating the modified hidden state going into output gate.
        reset_gate_t = model.net.Sum(
            [reset_gate_t, input_t_reset],
            self.scope('reset_gate_t')
        )
        reset_gate_t_sigmoid = model.net.Sigmoid(
            reset_gate_t,
            self.scope('reset_gate_t_sigmoid')
        )

# `self.linear_before_reset = True` matches cudnn semantics
        if self.linear_before_reset:
            output_gate_fc = brew.fc(
                model,
                hidden_t_prev,
                self.scope('output_gate_t'),
                dim_in=self.hidden_size,
                dim_out=self.hidden_size,
                axis=2,
            )
            output_gate_t = model.net.Mul(
                [reset_gate_t_sigmoid, output_gate_fc],
                self.scope('output_gate_t_mul')
            )
        else:
            modified_hidden_t_prev = model.net.Mul(
                [reset_gate_t_sigmoid, hidden_t_prev],
                self.scope('modified_hidden_t_prev')
            )
            output_gate_t = brew.fc(
                model,
                modified_hidden_t_prev,
                self.scope('output_gate_t'),
                dim_in=self.hidden_size,
                dim_out=self.hidden_size,
                axis=2,
            )

# Add input contributions to update and output gate.
        # We already (in-place) added input contributions to the reset gate.
        update_gate_t = model.net.Sum(
            [update_gate_t, input_t_update],
            self.scope('update_gate_t'),
        )
        output_gate_t = model.net.Sum(
            [output_gate_t, input_t_output],
            self.scope('output_gate_t_summed'),
        )

# Join gate outputs and add input contributions
        gates_t, _gates_t_concat_dims = model.net.Concat(
            [
                reset_gate_t,
                update_gate_t,
                output_gate_t,
            ],
            [
                self.scope('gates_t'),
                self.scope('_gates_t_concat_dims'),
            ],
            axis=2,
        )

if seq_lengths is not None:
            inputs = [hidden_t_prev, gates_t, seq_lengths, timestep]
        else:
            inputs = [hidden_t_prev, gates_t, timestep]

hidden_t = model.net.GRUUnit(
            inputs,
            list(self.get_state_names()),
            forget_bias=self.forget_bias,
            drop_states=self.drop_states,
            sequence_lengths=(seq_lengths is not None),
        )
        model.net.AddExternalOutputs(hidden_t)
        return (hidden_t,)

def prepare_input(self, model, input_blob):
        return brew.fc(
            model,
            input_blob,
            self.scope('i2h'),
            dim_in=self.input_size,
            dim_out=3 * self.hidden_size,
            axis=2,
        )

def get_state_names(self):
        return (self.scope('hidden_t'),)

def get_output_dim(self):
        return self.hidden_size

GRU = functools.partial(rnn_cell._LSTM, GRUCell)

cmd: