# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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.

from __future__ import print_function

import unittest
import numpy as np
from inference_pass_test import InferencePassTest
import paddle.fluid as fluid
import paddle.fluid.core as core
from paddle.fluid.core import PassVersionChecker
from paddle.fluid.core import AnalysisConfig


class TRTGatherTest1(InferencePassTest):
    def setUp(self):
        self.set_params()
        with fluid.program_guard(self.main_program, self.startup_program):
            data = fluid.data(name='data', shape=[-1, 128], dtype='float32')
            index = fluid.data(name='index', shape=[-1, 1], dtype='int32')
            scale_out = fluid.layers.gather(data, index=index)
            out = fluid.layers.softmax(input=scale_out)

        self.feeds = {
            "data": np.random.random([self.bs, 128]).astype("float32"),
            "index": self.index
        }

        self.enable_trt = True
        self.trt_parameters = TRTGatherTest1.TensorRTParam(
            1 << 30, self.bs, 1, AnalysisConfig.Precision.Float32, False, False)
        self.dynamic_shape_params = TRTGatherTest1.DynamicShapeParam({
            'data': [1, 1],
            'index': [1, 1]
        }, {'data': [32, 128],
            'index': [3, 1]}, {'data': [32, 128],
                               'index': [3, 1]}, False)
        self.fetch_list = [out]

    def set_params(self):
        self.index = np.array([[1], [2], [3]], dtype='int32')
        self.bs = 4

    def test_check_output(self):
        if core.is_compiled_with_cuda():
            use_gpu = True
            self.check_output_with_option(use_gpu, flatten=False)
            self.assertTrue(
                PassVersionChecker.IsCompatible('tensorrt_subgraph_pass'))


class TRTGatherTest2(InferencePassTest):
    def setUp(self):
        self.set_params()
        with fluid.program_guard(self.main_program, self.startup_program):
            data = fluid.data(name='data', shape=[16, 64], dtype='float32')
            index = fluid.data(name='index', shape=[2], dtype='int32')
            scale_out = fluid.layers.gather(data, index=index)
            out = fluid.layers.softmax(input=scale_out)

        self.feeds = {
            "data": np.random.random([self.bs, 64]).astype("float32"),
            "index": self.index
        }

        self.enable_trt = True
        self.trt_parameters = TRTGatherTest2.TensorRTParam(
            1 << 30, self.bs, 1, AnalysisConfig.Precision.Float32, False, False)
        self.dynamic_shape_params = TRTGatherTest2.DynamicShapeParam({
            'data': [2, 4],
            'index': [1]
        }, {'data': [256, 256],
            'index': [4]}, {'data': [64, 32],
                            'index': [2]}, False)
        self.fetch_list = [out]

    def set_params(self):
        self.index = np.array([1, 4], dtype='int32')
        self.bs = 16

    def test_check_output(self):
        if core.is_compiled_with_cuda():
            use_gpu = True
            self.check_output_with_option(use_gpu, flatten=False)
            self.assertTrue(
                PassVersionChecker.IsCompatible('tensorrt_subgraph_pass'))


if __name__ == "__main__":
    unittest.main()
