Commit 55a08dec by Siju Committed by Tianqi Chen

[NNVM][DARKNET]Logistic activation added (#1477)

parent 5846775f
......@@ -301,7 +301,9 @@ def _darknet_region(inputs, attrs):
def _darknet_activations(inputs, attrs):
"""Process the activation function."""
act = _darknet_required_attr(attrs, 'activation')
if ACTIVATION.RELU == act:
if ACTIVATION.LOGISTIC == act:
act_type = 'sigmoid'
elif ACTIVATION.RELU == act:
act_type = 'relu'
elif ACTIVATION.TANH == act:
act_type = 'tanh'
......@@ -323,6 +325,9 @@ def _darknet_activations(inputs, attrs):
sym = _darknet_get_nnvm_op(op_name)(*inputs, **new_attrs)
elif act_type in ['elu']:
sym = -1 * _sym.relu(1 - _sym.exp(*inputs)) + _sym.relu(*inputs)
elif act_type in ['sigmoid']:
op_name, new_attrs = act_type, {}
sym = _darknet_get_nnvm_op(op_name)(*inputs, **new_attrs)
else:
_darknet_raise_not_supported('act_type: ' + act_type)
return sym, None
......
......@@ -324,6 +324,32 @@ def test_forward_rnn():
test_rnn_forward(net)
LIB.free_network(net)
def test_forward_activation_logistic():
'''test logistic activation layer'''
net = LIB.make_network(1)
batch = 1
h = 224
w = 224
c = 3
n = 32
groups = 1
size = 3
stride = 2
padding = 0
activation = 0
batch_normalize = 0
binary = 0
xnor = 0
adam = 0
layer_1 = LIB.make_convolutional_layer(batch, h, w, c, n, groups, size, stride, padding,
activation, batch_normalize, binary, xnor, adam)
net.layers[0] = layer_1
net.w = w
net.h = h
LIB.resize_network(net, net.w, net.h)
test_forward(net)
LIB.free_network(net)
if __name__ == '__main__':
test_forward_resnet50()
test_forward_alexnet()
......@@ -342,3 +368,5 @@ if __name__ == '__main__':
test_forward_reorg()
test_forward_region()
test_forward_elu()
test_forward_rnn()
test_forward_activation_logistic()
\ No newline at end of file
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