wehub-resource-sync
241 lines
7.9 KiB
Python
241 lines
7.9 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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from get_test_cover_info import (
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XPUOpTestWrapper,
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check_run_big_shape_test,
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create_test_class,
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get_xpu_op_support_types,
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)
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from op_test_xpu import XPUOpTest
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import paddle
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paddle.enable_static()
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def strided_slice_native_forward(input, axes, starts, ends, strides):
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dim = input.ndim
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start = []
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end = []
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stride = []
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for i in range(dim):
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start.append(0)
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end.append(input.shape[i])
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stride.append(1)
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for i in range(len(axes)):
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start[axes[i]] = starts[i]
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end[axes[i]] = ends[i]
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stride[axes[i]] = strides[i]
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result = {
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1: lambda input, start, end, stride: input[
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start[0] : end[0] : stride[0]
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],
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2: lambda input, start, end, stride: input[
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start[0] : end[0] : stride[0], start[1] : end[1] : stride[1]
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],
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3: lambda input, start, end, stride: input[
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start[0] : end[0] : stride[0],
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start[1] : end[1] : stride[1],
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start[2] : end[2] : stride[2],
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],
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4: lambda input, start, end, stride: input[
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start[0] : end[0] : stride[0],
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start[1] : end[1] : stride[1],
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start[2] : end[2] : stride[2],
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start[3] : end[3] : stride[3],
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],
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5: lambda input, start, end, stride: input[
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start[0] : end[0] : stride[0],
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start[1] : end[1] : stride[1],
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start[2] : end[2] : stride[2],
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start[3] : end[3] : stride[3],
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start[4] : end[4] : stride[4],
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],
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6: lambda input, start, end, stride: input[
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start[0] : end[0] : stride[0],
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start[1] : end[1] : stride[1],
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start[2] : end[2] : stride[2],
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start[3] : end[3] : stride[3],
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start[4] : end[4] : stride[4],
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start[5] : end[5] : stride[5],
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],
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}[dim](input, start, end, stride)
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return result
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class XPUTestStrideSliceOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'strided_slice'
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self.use_dynamic_create_class = False
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class XPUTestStrideSliceOp(XPUOpTest):
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def setUp(self):
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self.op_type = 'strided_slice'
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self.dtype = self.in_type
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self.initTestCase()
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self.input = np.random.random(self.inshape).astype(self.dtype)
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self.python_api = paddle.strided_slice
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self.output = strided_slice_native_forward(
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self.input, self.axes, self.starts, self.ends, self.strides
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)
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self.inputs = {'Input': self.input}
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self.outputs = {'Out': self.output}
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self.attrs = {
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'axes': self.axes,
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'starts': self.starts,
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'ends': self.ends,
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'strides': self.strides,
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'infer_flags': self.infer_flags,
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}
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def test_check_output(self):
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self.check_output_with_place(paddle.XPUPlace(0))
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def test_check_grad(self):
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self.check_grad_with_place(paddle.XPUPlace(0), ['Input'], 'Out')
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def initTestCase(self):
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self.inshape = 100
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self.axes = [0]
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self.starts = [-4]
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self.ends = [-1]
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self.strides = [1]
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self.infer_flags = [1]
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class XPUTestStrideSliceOp1(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = 100
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self.axes = [0]
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self.starts = [3]
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self.ends = [8]
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self.strides = [1]
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self.infer_flags = [1]
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class XPUTestStrideSliceOp2(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (4, 8, 12)
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self.axes = [0, 1, 2]
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self.starts = [3, 4, 5]
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self.ends = [4, 5, 6]
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self.strides = [1, 1, 1]
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self.infer_flags = [1, 1, 1]
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class XPUTestStrideSliceOp3(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (4, 8, 12, 4, 40)
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self.axes = [0, 1, 2, 3, 4]
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self.starts = [3, 4, 5, 1, 10]
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self.ends = [4, 5, 6, 2, 30]
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self.strides = [1, 1, 1, 2, 2]
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self.infer_flags = [1, 1, 1, 1, 1]
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class XPUTestStrideSliceOp4(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (3, 4, 10)
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self.axes = [0, 1, 2]
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self.starts = [0, -1, 0]
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self.ends = [2, -3, 5]
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self.strides = [1, -1, 1]
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self.infer_flags = [1, 1, 1]
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class XPUTestStrideSliceOp5(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (5, 5, 5)
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self.axes = [0, 1, 2]
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self.starts = [1, 0, 0]
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self.ends = [2, 1, 3]
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self.strides = [1, 1, 1]
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self.infer_flags = [1, 1, 1]
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class XPUTestStrideSliceOp6(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (5, 5, 5)
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self.axes = [0, 1, 2]
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self.starts = [1, -1, 0]
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self.ends = [2, -3, 3]
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self.strides = [1, -1, 1]
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self.infer_flags = [1, 1, 1]
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class XPUTestStrideSliceOp7(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (5, 5, 5)
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self.axes = [0, 1, 2]
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self.starts = [1, 0, 0]
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self.ends = [2, 2, 3]
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self.strides = [1, 1, 1]
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self.infer_flags = [1, 1, 1]
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class XPUTestStrideSliceOp8(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (3, 3, 3, 6, 7, 8)
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self.axes = [0, 1, 2, 3, 4, 5]
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self.starts = [1, 0, 0, 0, 1, 2]
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self.ends = [2, 2, 3, 1, 2, 8]
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self.strides = [1, 1, 1, 1, 1, 2]
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self.infer_flags = [1, 1, 1, 1, 1]
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class XPUTestStrideSliceOp_eb_1(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (1, 4, 4096, 128)
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self.axes = [0, 1, 2, 3]
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self.starts = [0, 0, 0, 0]
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self.ends = [1, 4, 4096, 128]
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self.strides = [1, 1, 1, 2]
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self.infer_flags = [1, 1, 1, 1]
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class XPUTestStrideSliceOp_eb_2(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (1, 4, 4096, 128)
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self.axes = [0, 1, 2, 3]
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self.starts = [0, 0, 0, 1]
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self.ends = [1, 4, 4096, 128]
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self.strides = [1, 1, 1, 2]
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self.infer_flags = [1, 1, 1, 1]
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@check_run_big_shape_test()
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class XPUTestStrideSliceOpLargeShape1(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (1, 8192, 5, 128)
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self.axes = [0, 1, 2, 3]
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self.starts = [0, 0, 0, 0]
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self.ends = [1, 8192, 5, 128]
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self.strides = [1, 1, 1, 2]
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self.infer_flags = [1, 1, 1, 1]
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@check_run_big_shape_test()
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class XPUTestStrideSliceOpLargeShape2(XPUTestStrideSliceOp):
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def initTestCase(self):
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self.inshape = (8192, 3456)
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self.axes = [0, 1]
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self.starts = [0, 0]
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self.ends = [8192, 3456]
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self.strides = [1, 2]
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self.infer_flags = [1, 1]
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support_types = get_xpu_op_support_types('strided_slice')
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for stype in support_types:
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create_test_class(globals(), XPUTestStrideSliceOp, stype)
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if __name__ == "__main__":
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unittest.main()
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