#
# 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.
#

import numpy as np

input0 = Input("input0", "TENSOR_FLOAT32", "{1, 1, 2, 3}")
paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2,
                                                            3, 4,
                                                            3, 3,
                                                            2, 1])
output0 = Output("output0", "TENSOR_FLOAT32", "{4, 8, 8, 6}")

model = Model().Operation("PAD", input0, paddings).To(output0)

quant8 = DataTypeConverter().Identify({
    input0: ("TENSOR_QUANT8_ASYMM", 2.3, 0),
    output0: ("TENSOR_QUANT8_ASYMM", 2.3, 0),
})

Example({
    input0: [1.0, 2.0, 3.0,
             4.0, 5.0, 6.0],
    output0: np.pad([[[[1.0, 2.0, 3.0],
                       [4.0, 5.0, 6.0]]]],
                    [[1, 2],
                     [3, 4],
                     [3, 3],
                     [2, 1]],
                    "constant").flatten().tolist(),
}).AddVariations("float16", "relaxed", quant8)

# PAD of TENSOR_FLOAT32 and TENSOR_QUANT8_ASYMM data type is introduced in V1_1.
Example.SetVersion("V1_1", 
                   "pad_all_dims", 
                   "pad_all_dims_all_inputs_as_internal", 
                   "pad_all_dims_all_tensors_as_inputs", 
                   "pad_all_dims_all_tensors_as_inputs_all_inputs_as_internal", 
                   "pad_all_dims_quant8",
                   "pad_all_dims_quant8_all_inputs_as_internal",
                   "pad_all_dims_quant8_all_tensors_as_inputs",
                   "pad_all_dims_quant8_all_tensors_as_inputs_all_inputs_as_internal")