add python interface for mkldnn_concat

release/0.11.0
tensor-tang 7 years ago
parent 19c989ac15
commit 739858c889

@ -3488,11 +3488,17 @@ def ExpressionLayer(name, inputs, **xargs):
@config_layer('concat')
class ConcatenateLayer(LayerBase):
layer_type = 'concat'
def __init__(self, name, inputs, bias=False, **xargs):
config_assert(inputs, 'inputs cannot be empty')
config_assert(not bias, 'ConcatenateLayer cannot support bias.')
use_mkldnn = bool(int(g_command_config_args.get("use_mkldnn", 0)))
if self.layer_type == "mkldnn_concat":
config_assert(use_mkldnn, "mkldnn_concat only support MKLDNN")
self.layer_type = 'mkldnn_concat' if use_mkldnn else 'concat'
super(ConcatenateLayer, self).__init__(
name, 'concat', 0, inputs=inputs, **xargs)
name, self.layer_type, 0, inputs=inputs, **xargs)
size = 0
for input_index in xrange(len(self.inputs)):
assert self.get_input_layer(0).height == self.get_input_layer(
@ -3512,6 +3518,11 @@ class ConcatenateLayer(LayerBase):
self.set_layer_size(size)
@config_layer('mkldnn_concat')
class MKLDNNConcatLayer(ConcatenateLayer):
layer_type = 'mkldnn_concat'
# like concat layer, but each input layer was processed by a Projection.
@config_layer('concat2')
class ConcatenateLayer2(LayerBase):

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