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  /external/tensorflow/tensorflow/lite/testing/model_coverage/
model_coverage_lib_test.py 61 in_tensor_2 = array_ops.placeholder(
67 _ = math_ops.reduce_mean(math_ops.square(layer - in_tensor_2))
80 in_tensor_2 = constant_op.constant(
85 _ = math_ops.matmul(in_tensor_1, in_tensor_2, name='output')
117 in_tensor_2 = 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 149 in_tensor_2 = 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])
194 in_tensor_2 = 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])
488 in_tensor_2 = constant_op.constant(
493 out_tensor = math_ops.matmul(in_tensor_1, in_tensor_2, name='output')
514 in_tensor_2 = constant_op.constant(
519 out_tensor = math_ops.matmul(in_tensor_1, in_tensor_2, name='output'
    [all...]
convert_saved_model_test.py 137 in_tensor_2 = 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 129 in_tensor_2 = array_ops.placeholder(
132 in_tensor_1 + in_tensor_2, min=0., max=1., name="output")
173 in_tensor_2 = array_ops.placeholder(
176 in_tensor_1 + in_tensor_2, min=0., max=1., name="output")

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