Commit c48e1cc1 by Ina Dobreva Committed by Tianqi Chen

add parser support for TANH tflite operator (#3996)

parent ed9fdfb0
......@@ -82,6 +82,7 @@ class OperatorConverter(object):
'PAD': self.convert_pad,
'PACK': self.convert_pack,
'LOGISTIC': self.convert_logistic,
'TANH':self.convert_tanh,
'SPLIT': self.convert_split,
'TRANSPOSE': self.convert_transpose,
'TILE': self.convert_tile,
......@@ -326,6 +327,23 @@ class OperatorConverter(object):
return out
def convert_tanh(self, op):
"""Convert TFLite TANH"""
try:
from tflite.Operator import Operator
except ImportError:
raise ImportError("The tflite package must be installed")
assert isinstance(op, Operator)
input_tensors = self.get_input_tensors(op)
assert len(input_tensors) == 1, "input tensors length should be 1"
input_tensor = input_tensors[0]
in_expr = self.get_expr(input_tensor.tensor_idx)
out = _op.tanh(in_expr)
return out
def convert_concatenation(self, op):
"""Convert TFLite concatenation"""
try:
......
......@@ -813,6 +813,20 @@ def test_forward_softmax():
""" Softmax """
_test_softmax(np.arange(6.0, dtype=np.float32).reshape((1, 6)))
#######################################################################
# Tanh
# --------
def _test_tanh(data):
""" One iteration of TANH """
with tf.Graph().as_default():
in_data = array_ops.placeholder(shape=data.shape, dtype=data.dtype)
out = math_ops.sigmoid(in_data)
compare_tflite_with_tvm(data, 'Placeholder:0', [in_data], [out])
def test_forward_tanh():
""" TANH """
_test_tanh(np.arange(6.0, dtype=np.float32).reshape((1, 6)))
#######################################################################
# Fully Connected
......@@ -976,6 +990,7 @@ if __name__ == '__main__':
test_forward_logistic()
test_forward_pooling()
test_forward_softmax()
test_forward_tanh()
test_forward_fully_connected()
# Elemwise
......
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