# Copyright 2020 The OATomobile 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.
# ==============================================================================
"""Utilities for nested data structures involving NumPy and PyTorch."""

import torch
import torch.nn.functional as F
import tree

from oatomobile.torch import types


def add_batch_dim(nest: types.NestedArray) -> types.NestedTensor:
  """Adds a batch dimension to each leaf of a nested structure of Tensors."""
  return tree.map_structure(lambda x: x.unsqueeze(dim=0), nest)


def squeeze_batch_dim(nest: types.Array) -> types.NestedTensor:
  """Squeezes out a batch dimension from each leaf of a nested structure."""
  return tree.map_structure(lambda x: x.squeeze(dim=0), nest)

# Copyright 2020 The OATomobile 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.
# ==============================================================================
"""Utilities for nested data structures involving NumPy and PyTorch."""

import torch
import torch.nn.functional as F
import tree

from oatomobile.torch import types


def add_batch_dim(nest: types.NestedArray) -> types.NestedTensor:
  """Adds a batch dimension to each leaf of a nested structure of Tensors."""
  return tree.map_structure(lambda x: x.unsqueeze(dim=0), nest)


def squeeze_batch_dim(nest: types.Array) -> types.NestedTensor:
  """Squeezes out a batch dimension from each leaf of a nested structure."""
  return tree.map_structure(lambda x: x.squeeze(dim=0), nest)

# Copyright 2020 The OATomobile 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. # ============================================================================== Utilities for nested data structures involving NumPy and PyTorch. Adds a batch dimension to each leaf of a nested structure of Tensors. Squeezes out a batch dimension from each leaf of a nested structure.