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94 lines
3.1 KiB
94 lines
3.1 KiB
/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#define GLOG_NO_ABBREVIATED_SEVERITIES
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#define GOOGLE_GLOG_DLL_DECL
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#include "paddle/fluid/platform/miopen_helper.h"
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#include <gtest/gtest.h>
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TEST(MIOpenHelper, ScopedTensorDescriptor) {
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using paddle::platform::ScopedTensorDescriptor;
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using paddle::platform::DataLayout;
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ScopedTensorDescriptor tensor_desc;
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std::vector<int> shape = {2, 4, 6, 6};
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auto desc = tensor_desc.descriptor<float>(DataLayout::kNCHW, shape);
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miopenDataType_t type;
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int nd;
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std::vector<int> dims(4);
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std::vector<int> strides(4);
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paddle::platform::dynload::miopenGetTensorDescriptor(desc, &type, dims.data(),
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strides.data());
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paddle::platform::dynload::miopenGetTensorDescriptorSize(desc, &nd);
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EXPECT_EQ(nd, 4);
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for (size_t i = 0; i < dims.size(); ++i) {
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EXPECT_EQ(dims[i], shape[i]);
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}
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EXPECT_EQ(strides[3], 1);
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EXPECT_EQ(strides[2], 6);
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EXPECT_EQ(strides[1], 36);
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EXPECT_EQ(strides[0], 144);
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// test tensor5d: ScopedTensorDescriptor
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ScopedTensorDescriptor tensor5d_desc;
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std::vector<int> shape_5d = {2, 4, 6, 6, 6};
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auto desc_5d = tensor5d_desc.descriptor<float>(DataLayout::kNCDHW, shape_5d);
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std::vector<int> dims_5d(5);
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std::vector<int> strides_5d(5);
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paddle::platform::dynload::miopenGetTensorDescriptor(
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desc_5d, &type, dims_5d.data(), strides_5d.data());
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paddle::platform::dynload::miopenGetTensorDescriptorSize(desc_5d, &nd);
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EXPECT_EQ(nd, 5);
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for (size_t i = 0; i < dims_5d.size(); ++i) {
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EXPECT_EQ(dims_5d[i], shape_5d[i]);
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}
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EXPECT_EQ(strides_5d[4], 1);
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EXPECT_EQ(strides_5d[3], 6);
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EXPECT_EQ(strides_5d[2], 36);
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EXPECT_EQ(strides_5d[1], 216);
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EXPECT_EQ(strides_5d[0], 864);
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}
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TEST(MIOpenHelper, ScopedConvolutionDescriptor) {
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using paddle::platform::ScopedConvolutionDescriptor;
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ScopedConvolutionDescriptor conv_desc;
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std::vector<int> src_pads = {2, 2, 2};
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std::vector<int> src_strides = {1, 1, 1};
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std::vector<int> src_dilations = {1, 1, 1};
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auto desc = conv_desc.descriptor<float>(src_pads, src_strides, src_dilations);
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miopenConvolutionMode_t mode;
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int nd;
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std::vector<int> pads(3);
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std::vector<int> strides(3);
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std::vector<int> dilations(3);
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paddle::platform::dynload::miopenGetConvolutionNdDescriptor(
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desc, 3, &nd, pads.data(), strides.data(), dilations.data(), &mode);
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EXPECT_EQ(nd, 3);
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for (size_t i = 0; i < src_pads.size(); ++i) {
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EXPECT_EQ(pads[i], src_pads[i]);
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EXPECT_EQ(strides[i], src_strides[i]);
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EXPECT_EQ(dilations[i], src_dilations[i]);
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}
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EXPECT_EQ(mode, miopenConvolution);
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}
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