1 files changed, 288 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3/strided_slice_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/strided_slice_quant8_signed.mod.py
new file mode 100644
index 000000000..d49d72c64
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/strided_slice_quant8_signed.mod.py
@@ -0,0 +1,288 @@
+#
+# Copyright (C) 2019 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 = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{2}", [1, 0])
+ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2])
+strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 2)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124, -123, -122]}
+
+output0 = {output: # output 0
+           [-124, -123, -122]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{2}", [0, 0])
+ends = Parameter("ends", "TENSOR_INT32", "{2}", [1, 3])
+strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 1)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124, -123, -122]}
+
+output0 = {output: # output 0
+           [-127, -126, -125]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [1])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [3])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124]}
+
+output0 = {output: # output 0
+           [-126, -125]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [-3])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [3])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124]}
+
+output0 = {output: # output 0
+           [-126, -125]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [-5])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [3])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124]}
+
+output0 = {output: # output 0
+           [-127, -126, -125]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [1])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [-2])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{1}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124]}
+
+output0 = {output: # output 0
+           [-126]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [1])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [3])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 1)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124]}
+
+output0 = {output: # output 0
+           [-127, -126, -125]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [1])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [3])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 1)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124]}
+
+output0 = {output: # output 0
+           [-126, -125, -124]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [-1])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [-4])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [-1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125]}
+
+output0 = {output: # output 0
+           [-125, -126, -127]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{2}", [1, -1])
+ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, -4])
+strides = Parameter("strides", "TENSOR_INT32", "{2}", [2, -1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124, -123, -122]}
+
+output0 = {output: # output 0
+           [-122, -123, -124]}
+
+# Instantiate an example
+Example((input0, output0))
+
+#######################################################
+
+model = Model()
+i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128")
+begins = Parameter("begins", "TENSOR_INT32", "{2}", [1, 0])
+ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2])
+strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1])
+beginMask = Int32Scalar("beginMask", 1)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 2}, 1.0, -128")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [-127, -126, -125, -124, -123, -122]}
+
+output0 = {output: # output 0
+           [-127, -126, -124, -123]}
+
+# Instantiate an example
+Example((input0, output0))