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【Hackathon 5 No.2】Add index_fill / index_fill_ API to Paddle (PaddleP…
…addle#57416) * init index_fill API * modify api design * format code * optimize process * format code * adjust computation process * sample code format * fix code example * modify test reference * Update documentation Co-authored-by: zachary sun <70642955+sunzhongkai588@users.noreply.github.com> --------- Co-authored-by: zachary sun <70642955+sunzhongkai588@users.noreply.github.com>
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# Copyright (c) 2023 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. | ||
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import unittest | ||
from itertools import combinations | ||
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import numpy as np | ||
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import paddle | ||
from paddle.base import Program | ||
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paddle.enable_static() | ||
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def compute_index_fill_ref(x, axis, index, value): | ||
perm = list(range(len(x.shape))) | ||
perm[0] = axis | ||
perm[axis] = 0 | ||
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out = np.transpose(x, perm) | ||
out[index] = value | ||
out = np.transpose(out, perm) | ||
return out | ||
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class TestIndexFillAPIBase(unittest.TestCase): | ||
def setUp(self): | ||
self.init_setting() | ||
self.modify_setting() | ||
self.x_np = np.random.random(self.x_shape).astype(self.dtype_np) | ||
self.index_np = np.array(self.combs[np.random.randint(0, 252)]).astype( | ||
self.index_type | ||
) | ||
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self.place = ['cpu'] | ||
if self.dtype_np == 'float16': | ||
self.place = [] | ||
if paddle.is_compiled_with_cuda(): | ||
self.place.append('gpu') | ||
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def init_setting(self): | ||
self.dtype_np = 'float64' | ||
self.index_type = 'int64' | ||
self.x_shape = (20, 40) | ||
self.index_size = (5,) | ||
self.axis = 0 | ||
self.value = -1 | ||
self.combs = list(combinations(list(range(10)), self.index_size[0])) | ||
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def modify_setting(self): | ||
pass | ||
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def test_static_graph(self): | ||
paddle.enable_static() | ||
for place in self.place: | ||
with paddle.static.program_guard(Program()): | ||
x = paddle.static.data( | ||
name="x", shape=self.x_shape, dtype=self.dtype_np | ||
) | ||
index = paddle.static.data( | ||
name="index", shape=self.index_size, dtype=self.index_type | ||
) | ||
out = paddle.index_fill(x, index, self.axis, self.value) | ||
exe = paddle.static.Executor(place=place) | ||
feed_list = {"x": self.x_np, "index": self.index_np} | ||
pd_res = exe.run( | ||
paddle.static.default_main_program(), | ||
feed=feed_list, | ||
fetch_list=[out], | ||
)[0] | ||
ref_res = compute_index_fill_ref( | ||
self.x_np, self.axis, self.index_np, self.value | ||
) | ||
np.testing.assert_allclose(ref_res, pd_res) | ||
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def test_dygraph(self): | ||
paddle.disable_static() | ||
for place in self.place: | ||
paddle.device.set_device(place) | ||
x_pd = paddle.to_tensor(self.x_np) | ||
index_pd = paddle.to_tensor(self.index_np) | ||
pd_res = paddle.index_fill(x_pd, index_pd, self.axis, self.value) | ||
ref_res = compute_index_fill_ref( | ||
self.x_np, self.axis, self.index_np, self.value | ||
) | ||
np.testing.assert_allclose(ref_res, pd_res) | ||
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def test_errors(self): | ||
data_np = np.random.random((10, 10)).astype(np.float32) | ||
index = paddle.to_tensor([0, 2]) | ||
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def test_index_not_tensor(): | ||
res = paddle.index_fill(data_np, [0, 2], axis=-1, value=-1) | ||
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self.assertRaises(ValueError, test_index_not_tensor) | ||
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def test_value_shape(): | ||
res = paddle.index_fill( | ||
data_np, index, axis=-1, value=paddle.to_tensor([-1, -4]) | ||
) | ||
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self.assertRaises(ValueError, test_value_shape) | ||
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def test_axis_range(): | ||
res = paddle.index_fill(data_np, index, axis=4, value=-1) | ||
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self.assertRaises(ValueError, test_axis_range) | ||
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class TestIndexFillAPI1(TestIndexFillAPIBase): | ||
def modify_setting(self): | ||
self.dtype_np = 'int64' | ||
self.index_type = 'int32' | ||
self.x_shape = (10, 15, 10) | ||
self.axis = 1 | ||
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class TestIndexFillAPI2(TestIndexFillAPIBase): | ||
def modify_setting(self): | ||
self.dtype_np = 'bool' | ||
self.index_type = 'int32' | ||
self.x_shape = (10, 15, 10) | ||
self.axis = 1 | ||
self.value = True | ||
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class TestIndexFillAPI3(TestIndexFillAPIBase): | ||
def modify_setting(self): | ||
self.dtype_np = 'float16' | ||
self.x_shape = (10, 15, 10) | ||
self.axis = 1 | ||
self.value = 0.5 |
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