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add squeeze, gather, cast Ops (PaddlePaddle#72)
* add Op * add gather, cast, squeeze * pre-commit
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,78 @@ | ||
| # Copyright (c) 2021 PaddlePaddle 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. | ||
|
|
||
| from __future__ import print_function | ||
|
|
||
| import numpy as np | ||
| import unittest | ||
| import sys | ||
| import paddle | ||
| import paddle.fluid as fluid | ||
| import paddle.fluid.compiler as compiler | ||
|
|
||
| paddle.enable_static() | ||
| SEED = 2021 | ||
|
|
||
|
|
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| @unittest.skipIf(not paddle.is_compiled_with_ipu(), | ||
| "core is not compiled with IPU") | ||
| class TestCastNet(unittest.TestCase): | ||
| def _test(self, run_ipu=True): | ||
| main_prog = paddle.static.Program() | ||
| startup_prog = paddle.static.Program() | ||
| main_prog.random_seed = SEED | ||
| startup_prog.random_seed = SEED | ||
| np.random.seed(SEED) | ||
|
|
||
| np_image = np.random.rand(1, 3, 1, 5).astype(np.float32) | ||
|
|
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| with paddle.static.program_guard(main_prog, startup_prog): | ||
| image = paddle.static.data( | ||
| name='image', shape=[1, 3, 1, 5], dtype="float32") | ||
| cast = paddle.cast(image, "float16") | ||
|
|
||
| if run_ipu: | ||
| place = paddle.IPUPlace() | ||
| else: | ||
| place = paddle.CPUPlace() | ||
| exe = paddle.static.Executor(place) | ||
| exe.run(startup_prog) | ||
|
|
||
| if run_ipu: | ||
| feed_list = [image.name] | ||
| fetch_list = [cast.name] | ||
| ipu_strategy = compiler.get_ipu_strategy() | ||
| ipu_strategy.is_training = False | ||
| program = compiler.IpuCompiler( | ||
| main_prog, ipu_strategy=ipu_strategy).compile(feed_list, | ||
| fetch_list) | ||
| #print(program._to_readable_code()) | ||
| else: | ||
| program = main_prog | ||
| #print(program._to_readable_code()) | ||
| result = exe.run(program, feed={"image": np_image}, fetch_list=[cast]) | ||
| return result[0] | ||
|
|
||
| def test_cast(self): | ||
| cpu = self._test(False) | ||
| print(cpu.shape) | ||
| print(cpu) | ||
| ipu = self._test(True) | ||
| print(ipu.shape) | ||
| print(ipu) | ||
| self.assertTrue(np.allclose(ipu, cpu, atol=1e-3)) | ||
|
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||
|
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| if __name__ == "__main__": | ||
| unittest.main() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,80 @@ | ||
| # Copyright (c) 2021 PaddlePaddle 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. | ||
|
|
||
| from __future__ import print_function | ||
|
|
||
| import numpy as np | ||
| import unittest | ||
| import sys | ||
| import paddle | ||
| import paddle.fluid as fluid | ||
| import paddle.fluid.compiler as compiler | ||
|
|
||
| paddle.enable_static() | ||
| SEED = 2021 | ||
|
|
||
|
|
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| @unittest.skipIf(not paddle.is_compiled_with_ipu(), | ||
| "core is not compiled with IPU") | ||
| class TestGatherNet(unittest.TestCase): | ||
| def _test(self, run_ipu=True): | ||
| main_prog = paddle.static.Program() | ||
| startup_prog = paddle.static.Program() | ||
| main_prog.random_seed = SEED | ||
| startup_prog.random_seed = SEED | ||
| np.random.seed(SEED) | ||
|
|
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| np_image = np.random.rand(3, 2).astype(np.float32) | ||
| np_index = np.array([1, 2]).astype(np.int32) | ||
|
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| with paddle.static.program_guard(main_prog, startup_prog): | ||
| image = paddle.static.data( | ||
| name='image', shape=[3, 2], dtype='float32') | ||
| index = paddle.static.data(name='index', shape=[2], dtype='int32') | ||
| gather = paddle.fluid.layers.gather(image, index) | ||
|
|
||
| if run_ipu: | ||
| place = paddle.IPUPlace() | ||
| else: | ||
| place = paddle.CPUPlace() | ||
| exe = paddle.static.Executor(place) | ||
| exe.run(startup_prog) | ||
|
|
||
| if run_ipu: | ||
| feed_list = [image.name, index.name] | ||
| fetch_list = [gather.name] | ||
| ipu_strategy = compiler.get_ipu_strategy() | ||
| ipu_strategy.is_training = False | ||
| program = compiler.IpuCompiler( | ||
| main_prog, ipu_strategy=ipu_strategy).compile(feed_list, | ||
| fetch_list) | ||
| else: | ||
| program = main_prog | ||
|
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||
| result = exe.run(program, | ||
| feed={"image": np_image, | ||
| "index": np_index}, | ||
| fetch_list=[gather]) | ||
| return result[0] | ||
|
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| def test_gather(self): | ||
| cpu = self._test(False) | ||
| print(cpu.shape) | ||
| ipu = self._test(True) | ||
| print(ipu.shape) | ||
| self.assertTrue(np.allclose(ipu, cpu, atol=1e-4)) | ||
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| if __name__ == "__main__": | ||
| unittest.main() |
79 changes: 79 additions & 0 deletions
79
python/paddle/fluid/tests/unittests/ipu/test_lookuptable_op.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| # Copyright (c) 2021 PaddlePaddle 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. | ||
|
|
||
| from __future__ import print_function | ||
|
|
||
| import numpy as np | ||
| import unittest | ||
| import sys | ||
| import paddle | ||
| import paddle.fluid as fluid | ||
| import paddle.fluid.compiler as compiler | ||
|
|
||
| paddle.enable_static() | ||
| SEED = 2021 | ||
|
|
||
|
|
||
| @unittest.skipIf(not paddle.is_compiled_with_ipu(), | ||
| "core is not compiled with IPU") | ||
| class TestLookupTableNet(unittest.TestCase): | ||
| def _test(self, run_ipu=True): | ||
| main_prog = paddle.static.Program() | ||
| startup_prog = paddle.static.Program() | ||
| main_prog.random_seed = SEED | ||
| startup_prog.random_seed = SEED | ||
| np.random.seed(SEED) | ||
|
|
||
| np_image = np.array( | ||
| [[[1], [3]], [[2], [4]], [[4], [127]]]).astype(np.int64) | ||
|
|
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| with paddle.static.program_guard(main_prog, startup_prog): | ||
| image = paddle.static.data( | ||
| name='image', shape=[3, 2, 1], dtype='int32') | ||
| lookup = paddle.fluid.layers.embedding( | ||
| input=image, size=[128, 16], padding_idx=-1) | ||
|
|
||
| if run_ipu: | ||
| place = paddle.IPUPlace() | ||
| else: | ||
| place = paddle.CPUPlace() | ||
| exe = paddle.static.Executor(place) | ||
| exe.run(startup_prog) | ||
|
|
||
| if run_ipu: | ||
| feed_list = [image.name] | ||
| fetch_list = [lookup.name] | ||
| ipu_strategy = compiler.get_ipu_strategy() | ||
| ipu_strategy.is_training = False | ||
| program = compiler.IpuCompiler( | ||
| main_prog, ipu_strategy=ipu_strategy).compile(feed_list, | ||
| fetch_list) | ||
| else: | ||
| program = main_prog | ||
| print(program._to_readable_code()) | ||
|
|
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| result = exe.run(program, feed={"image": np_image}, fetch_list=[lookup]) | ||
| return result[0] | ||
|
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| def test_gather(self): | ||
| #cpu = self._test(False) | ||
| #print(cpu.shape) | ||
| #print(cpu) | ||
| ipu = self._test(True) | ||
| #print(ipu.shape) | ||
| #self.assertTrue(np.allclose(ipu, cpu, atol=1e-4)) | ||
|
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|
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| if __name__ == "__main__": | ||
| unittest.main() |
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