# Copyright 2018 The TensorFlow 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.
# ==============================================================================
"""Model script to test TF-TensorRT integration."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np

from tensorflow.contrib.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gen_array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test


class BinaryTensorWeightBroadcastTest(trt_test.TfTrtIntegrationTestBase):

  def GetParams(self):
    """Tests for scale & elementwise layers in TF-TRT."""
    dtype = dtypes.float32
    input_name = "input"
    input_dims = [10, 24, 24, 20]
    g = ops.Graph()
    with g.as_default():
      x = array_ops.placeholder(dtype=dtype, shape=input_dims, name=input_name)
      # scale
      a = constant_op.constant(np.random.randn(1), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # scale
      a = constant_op.constant(np.random.randn(1), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # scale
      a = constant_op.constant(np.random.randn(24, 1, 1), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # scale
      a = constant_op.constant(np.random.randn(24, 1, 1), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # scale
      a = constant_op.constant(np.random.randn(24, 24, 20), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # scale
      a = constant_op.constant(np.random.randn(24, 24, 20), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(20), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(20), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(1, 24, 1, 1), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(1, 24, 1, 1), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(1, 24, 24, 1), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(1, 24, 24, 1), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(1, 24, 24, 20), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(1, 24, 24, 20), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(24, 20), dtype=dtype)
      f = a + x
      x = math_ops.sigmoid(f)
      # elementwise
      a = constant_op.constant(np.random.randn(24, 20), dtype=dtype)
      f = x + a
      x = math_ops.sigmoid(f)
      gen_array_ops.reshape(x, [5, -1], name=self.output_name)
    return trt_test.TfTrtIntegrationTestParams(
        gdef=g.as_graph_def(),
        input_names=[input_name],
        input_dims=[input_dims],
        expected_engines=[
            "my_trt_op_0",
            "my_trt_op_1",
            "my_trt_op_2",
            "my_trt_op_3",
            "my_trt_op_4",
            "my_trt_op_5",
            "my_trt_op_6",
            "my_trt_op_7",
            "my_trt_op_8",
            "my_trt_op_9",
            "my_trt_op_10",
            "my_trt_op_11",
            "my_trt_op_12",
            "my_trt_op_13",
            "my_trt_op_14",
            "my_trt_op_15",
        ],
        expected_output_dims=(5, 23040),
        allclose_atol=1.e-03,
        allclose_rtol=1.e-03)


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