1 files changed, 119 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3/while_sum_of_powers_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/while_sum_of_powers_quant8_signed.mod.py
new file mode 100644
index 000000000..7f11e8f42
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/while_sum_of_powers_quant8_signed.mod.py
@@ -0,0 +1,119 @@
+#
+# Copyright (C) 2020 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+# Model: given x = [x0, x1] and n, produces [sum(x0 ^ i), sum(x1 ^ i)] for i in [1, n].
+#
+# sum = [1, 1] // More generarlly, sum = ones_like(x).
+# i = 1
+# while i <= n:
+#     xi = x  // x to the power of i (element-wise)
+#     j = 1
+#     while j < i:
+#        xi = xi * x
+#        j += 1
+#     sum = sum + xi
+#     i = i + 1
+
+DataType10 = ["TENSOR_QUANT8_ASYMM_SIGNED", [1, 2], 1.0, 12]
+DataType05 = ["TENSOR_QUANT8_ASYMM_SIGNED", [1, 2], 0.5, 12]
+CounterType = ["TENSOR_INT32", [1]]
+BoolType = ["TENSOR_BOOL8", [1]]
+
+def quantize(data, scale, offset):
+  return [max(-128, min(127, int(round(x / scale)) + offset)) for x in data]
+
+def MakeInnerConditionModel():
+  xi = Input("xi", DataType10)
+  j = Input("j", CounterType)
+  i = Input("i", CounterType)
+  x = Input("x", DataType05)
+  out = Output("out", BoolType)
+  model = Model()
+  model.IdentifyInputs(xi, j, i, x)
+  model.IdentifyOutputs(out)
+  model.Operation("LESS", j, i).To(out)
+  return model
+
+def MakeInnerBodyModel():
+  xi = Input("xi", DataType10)
+  j = Input("j", CounterType)
+  i = Input("i", CounterType)
+  x = Input("x", DataType05)
+  xi_out = Output("xi_out", DataType10)
+  j_out = Output("j_out", CounterType)
+  model = Model()
+  model.IdentifyInputs(xi, j, i, x)
+  model.IdentifyOutputs(xi_out, j_out)
+  model.Operation("MUL", xi, x, 0).To(xi_out)
+  model.Operation("ADD", j, [1], 0).To(j_out)
+  return model
+
+def MakeOuterConditionModel():
+  sum = Input("sum", DataType10)
+  i = Input("i", CounterType)
+  n = Input("n", CounterType)
+  x = Input("x", DataType05)
+  out = Output("out", BoolType)
+  model = Model()
+  model.IdentifyInputs(sum, i, n, x)
+  model.IdentifyOutputs(out)
+  model.Operation("LESS_EQUAL", i, n).To(out)
+  return model
+
+def MakeOuterBodyModel():
+  sum = Input("sum", DataType10)
+  i = Input("i", CounterType)
+  n = Input("n", CounterType)
+  x = Input("x", DataType05)
+  sum_out = Output("sum_out", DataType10)
+  i_out = Output("i_out", CounterType)
+  xi_init = Internal("xi_init", DataType10)
+  j_init = [1]
+  cond = MakeInnerConditionModel()
+  body = MakeInnerBodyModel()
+  xi = Internal("xi", DataType10)
+  zero = Parameter("zero", DataType10, quantize([0, 0], 1.0, 12))
+  model = Model()
+  model.IdentifyInputs(sum, i, n, x)
+  model.IdentifyOutputs(sum_out, i_out)
+  model.Operation("ADD", x, zero, 0).To(xi_init)
+  model.Operation("WHILE", cond, body, xi_init, j_init, i, x).To(xi)
+  model.Operation("ADD", i, [1], 0).To(i_out)
+  model.Operation("ADD", sum, xi, 0).To(sum_out)
+  return model
+
+def Test(x_data, n_data, sum_data):
+  x = Input("x", DataType05)
+  n = Input("n", CounterType)
+  sum = Output("sum", DataType10)
+  cond = MakeOuterConditionModel()
+  body = MakeOuterBodyModel()
+  sum_init = Parameter("sum_init", DataType10, quantize([1, 1], 1.0, 12))
+  i_init = [1]
+  model = Model().Operation("WHILE", cond, body, sum_init, i_init, n, x).To(sum)
+
+  example = Example({
+    x: quantize(x_data, 0.5, 12),
+    n: [n_data],
+    sum: quantize(sum_data, 1.0, 12),
+  }, name="n_{}".format(n_data))
+  example.AddVariations(AllOutputsAsInternalCoverter())
+
+Test(x_data=[2, 3], n_data=0, sum_data=[1, 1])
+Test(x_data=[2, 3], n_data=1, sum_data=[1 + 2, 1 + 3])
+Test(x_data=[2, 3], n_data=2, sum_data=[1 + 2 + 4, 1 + 3 + 9])
+Test(x_data=[2, 3], n_data=3, sum_data=[1 + 2 + 4 + 8, 1 + 3 + 9 + 27])
+Test(x_data=[2, 3], n_data=4, sum_data=[1 + 2 + 4 + 8 + 16, 1 + 3 + 9 + 27 + 81])