| # 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. |
| # ============================================================================== |
| """Utilities for helping test ops.""" |
| |
| import numpy as np |
| from six.moves import range |
| |
| |
| def ConvertBetweenDataFormats(x, data_format_src, data_format_dst): |
| """Converts 4D tensor between data formats.""" |
| |
| valid_data_formats = ["NHWC", "NCHW", "HWNC", "HWCN"] |
| if data_format_src not in valid_data_formats: |
| raise ValueError("data_format_src must be of %s, got %s." % |
| (valid_data_formats, data_format_src)) |
| if data_format_dst not in valid_data_formats: |
| raise ValueError("data_format_dst must be of %s, got %s." % |
| (valid_data_formats, data_format_dst)) |
| if len(x.shape) != 4: |
| raise ValueError("x must be 4D, got shape %s." % x.shape) |
| |
| if data_format_src == data_format_dst: |
| return x |
| |
| dim_map = {d: i for i, d in enumerate(data_format_src)} |
| transpose_dims = [dim_map[d] for d in data_format_dst] |
| return np.transpose(x, transpose_dims) |
| |
| |
| def PermuteDimsBetweenDataFormats(dims, data_format_src, data_format_dst): |
| """Get new shape for converting between data formats.""" |
| |
| valid_data_formats = ["NHWC", "NCHW", "HWNC", "HWCN"] |
| if data_format_src not in valid_data_formats: |
| raise ValueError("data_format_src must be of %s, got %s." % |
| (valid_data_formats, data_format_src)) |
| if data_format_dst not in valid_data_formats: |
| raise ValueError("data_format_dst must be of %s, got %s." % |
| (valid_data_formats, data_format_dst)) |
| if len(dims) != 4: |
| raise ValueError("dims must be of length 4, got %s." % dims) |
| |
| if data_format_src == data_format_dst: |
| return dims |
| |
| dim_map = {d: i for i, d in enumerate(data_format_src)} |
| permuted_dims = [dims[dim_map[d]] for d in data_format_dst] |
| return permuted_dims |
| |
| |
| _JIT_WARMUP_ITERATIONS = 10 |
| |
| |
| def RunWithWarmup(sess, op_to_run, feed_dict, options=None, run_metadata=None): |
| """Runs a graph a few times to ensure that its clusters are compiled.""" |
| for _ in range(0, _JIT_WARMUP_ITERATIONS): |
| sess.run(op_to_run, feed_dict, options=options) |
| return sess.run( |
| op_to_run, feed_dict, options=options, run_metadata=run_metadata) |