| # Copyright 2020 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. |
| # ============================================================================== |
| """Test configs for einsum.""" |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import tensorflow as tf |
| from tensorflow.lite.testing.zip_test_utils import create_tensor_data |
| from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests |
| from tensorflow.lite.testing.zip_test_utils import register_make_test_function |
| from tensorflow.python.framework import test_util |
| |
| |
| @register_make_test_function("make_einsum_tests") |
| @test_util.enable_control_flow_v2 |
| def make_einsum_tests(options): |
| """Make a set of tests to do basic einsum ops.""" |
| |
| test_parameters = [ |
| { |
| "dtype": [tf.float32], |
| "shapes": [ |
| ((3, 4, 5), (3, 5, 6), "ijk,ikm->ijm"), |
| ((3, 4, 5), (5, 6), "ijk,km->ijm"), |
| ((2, 5, 7), (5, 2), "LBH,BL->BH"), |
| ((2, 5, 7), (5, 3, 2), "LBH,BKL->BKH"), |
| ((2, 5, 7, 3), (2, 4, 7, 3), "BFNH,BTNH->BNFT"), |
| ((2, 5, 7, 3), (7, 3, 4), "BFND,NDH->BFH"), |
| ((3, 4, 5), (5, 6, 2), "BFD,DNH->BFNH"), |
| ((7, 11, 13), (7, 11, 13, 5), "BIN,BINJ->BIJ"), |
| ((7, 11, 19), (7, 11, 13, 19), "BIJ,BINJ->BIN"), |
| ((5, 13, 3, 11), (5, 11, 13, 8), "ACBE,AECD->ABCD"), |
| ((5, 11, 7, 3), (5, 8, 7, 3), "AECD,ABCD->ACBE"), |
| ((5, 4, 3), (3, 2, 1), "...ij,j...->i..."), |
| ((5, 4, 3), (3, 2, 1), "...ij,j...->...i"), |
| ((1, 11, 19), (7, 11, 13, 19), "...IJ,...INJ->...IN"), |
| ((1, 11, 19), (7, 11, 13, 19), "...IJ,...INJ->IN..."), |
| ((4, 3, 2, 5), (3, 6, 1), "ij...,jk...->ik..."), |
| ((4, 3, 2, 5), (3, 6, 1), "ij...,jk...->...ik"), |
| ], |
| }, |
| ] |
| |
| def build_graph(parameters): |
| """Build a simple graph with einsum Op.""" |
| input0_shape = parameters["shapes"][0] |
| input1_shape = parameters["shapes"][1] |
| equation = parameters["shapes"][2] |
| |
| input0_tensor = tf.compat.v1.placeholder( |
| dtype=parameters["dtype"], shape=input0_shape) |
| input1_tensor = tf.compat.v1.placeholder( |
| dtype=parameters["dtype"], shape=input1_shape) |
| out = tf.einsum(equation, input0_tensor, input1_tensor) |
| return [input0_tensor, input1_tensor], [out] |
| |
| def build_inputs(parameters, sess, inputs, outputs): |
| """Feed inputs, assign variables, and freeze graph.""" |
| input0_shape = parameters["shapes"][0] |
| input1_shape = parameters["shapes"][1] |
| input0_value = create_tensor_data(parameters["dtype"], input0_shape) |
| input1_value = create_tensor_data(parameters["dtype"], input1_shape) |
| output_values = sess.run( |
| outputs, feed_dict=dict(zip(inputs, [input0_value, input1_value]))) |
| return [input0_value, input1_value], output_values |
| |
| options.use_experimental_converter = True |
| make_zip_of_tests( |
| options, |
| test_parameters, |
| build_graph, |
| build_inputs, |
| use_frozen_graph=True) |