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  /external/tensorflow/tensorflow/lite/testing/model_coverage/
model_coverage_lib_test.py 59 in_tensor_1 = array_ops.placeholder(
66 layer = math_ops.matmul(in_tensor_1, weight) + bias
78 in_tensor_1 = array_ops.placeholder(
85 _ = math_ops.matmul(in_tensor_1, in_tensor_2, name='output')
115 in_tensor_1 = array_ops.placeholder(
119 out_tensor = in_tensor_1 + in_tensor_2
121 inputs = {'x': in_tensor_1, 'y': in_tensor_2}
  /external/tensorflow/tensorflow/lite/python/
lite_test.py 147 in_tensor_1 = array_ops.placeholder(
152 in_tensor_1 + in_tensor_2, min=0., max=1., name='output')
157 sess, [in_tensor_1, in_tensor_2], [out_tensor])
192 in_tensor_1 = array_ops.placeholder(
197 in_tensor_1 + in_tensor_2, min=0., max=1., name='output')
202 sess, [in_tensor_1, in_tensor_2], [out_tensor])
486 in_tensor_1 = array_ops.placeholder(
493 out_tensor = math_ops.matmul(in_tensor_1, in_tensor_2, name='output')
497 sess, [in_tensor_1], [out_tensor])
512 in_tensor_1 = array_ops.placeholder
    [all...]
convert_saved_model_test.py 135 in_tensor_1 = array_ops.placeholder(
139 out_tensor = in_tensor_1 + in_tensor_2
140 inputs = {"x": in_tensor_1, "y": in_tensor_2}
convert_test.py 127 in_tensor_1 = array_ops.placeholder(
132 in_tensor_1 + in_tensor_2, min=0., max=1., name="output")
171 in_tensor_1 = array_ops.placeholder(
176 in_tensor_1 + in_tensor_2, min=0., max=1., name="output")

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