blob: 1e940ef0531b59c0726f98e2c8c9d418256c3f81 [file] [log] [blame]
# Copyright 2020 Google LLC
#
# 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
#
# https://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.
import logging
import os
import sys
import tempfile
import unittest
# TODO: No idea why pytype cannot find names from this module.
# pytype: disable=name-error
from pyiree.compiler2.tf import *
if not is_available():
print(f"Skipping test {__file__} because the IREE TensorFlow compiler "
f"is not installed")
sys.exit(0)
import tensorflow as tf
class SimpleArithmeticModule(tf.Module):
@tf.function(input_signature=[
tf.TensorSpec([4], tf.float32),
tf.TensorSpec([4], tf.float32)
])
def simple_mul(self, a, b):
return a * b
@tf.function(input_signature=[
tf.TensorSpec([128, 3072], tf.float32),
tf.TensorSpec([3072, 256], tf.float32),
])
def simple_matmul(self, a, b):
return tf.matmul(a, b)
# TODO(laurenzo): More test cases needed (may need additional files).
# Specifically, figure out how to test v1 models.
class TfCompilerTest(tf.test.TestCase):
def testImportSavedModel(self):
import_mlir = compile_saved_model(self.smdir,
import_only=True).decode("utf-8")
self.assertIn("sym_name = \"simple_matmul\"", import_mlir)
def testCompileSavedModel(self):
binary = compile_saved_model(self.smdir,
target_backends=DEFAULT_TESTING_BACKENDS)
logging.info("Compiled len: %d", len(binary))
self.assertIn(b"simple_matmul", binary)
self.assertIn(b"simple_mul", binary)
def testCompileModule(self):
binary = compile_module(self.m, target_backends=DEFAULT_TESTING_BACKENDS)
logging.info("Compiled len: %d", len(binary))
self.assertIn(b"simple_matmul", binary)
self.assertIn(b"simple_mul", binary)
@classmethod
def setUpClass(cls):
cls.m = SimpleArithmeticModule()
cls.tempdir = tempfile.TemporaryDirectory()
cls.smdir = os.path.join(cls.tempdir.name, "arith.sm")
tf.saved_model.save(
cls.m,
cls.smdir,
options=tf.saved_model.SaveOptions(save_debug_info=True))
@classmethod
def tearDownClass(cls):
cls.tempdir.cleanup()
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG)
tf.test.main()