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114 lines
4.5 KiB
114 lines
4.5 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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*/
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#include <vector>
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#include "common/common_test.h"
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#include "common/trans.h"
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#include "utils/utils.h"
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using namespace std;
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namespace mindspore {
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namespace trans {
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class FormatTransTest : public UT::Common {
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public:
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FormatTransTest() = default;
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void SetUp() override {}
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void TearDown() override {}
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};
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TEST_F(FormatTransTest, nchw_to_hwcn) {
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uint16_t data[2*2*2*2] = {12581,14220,14937,14302,
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15004,14951,14694,14564,
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14069,14554,10507,14787,
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13016,15263,14872,10838};
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uint16_t res[2*2*2*2] = {12581,14069,15004,13016,
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14220,14554,14951,15263,
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14937,10507,14694,14872,
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14302,14787,14564,10838};
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size_t device_size = 32;
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auto trans_tmp = std::vector<uint8_t>(device_size);
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FormatArgs format_args{data, device_size, kOpFormat_NCHW, kOpFormat_HWCN,
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{2, 2, 2, 2}, {2, 2, 2, 2}, kNumberTypeFloat16};
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EXPECT_EQ(trans::TransFormat(format_args, trans_tmp.data()), true);
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for (size_t i = 0; i < sizeof(res) / sizeof(res[0]); i++) {
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EXPECT_EQ((reinterpret_cast<uint16_t *>(trans_tmp.data()))[i], res[i]);
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}
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}
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TEST_F(FormatTransTest, hwcn_to_nchw) {
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uint16_t data[2*2*2*2] = {12581,14069,15004,13016,
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14220,14554,14951,15263,
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14937,10507,14694,14872,
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14302,14787,14564,10838};
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uint16_t res[2*2*2*2] = {12581,14220,14937,14302,
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15004,14951,14694,14564,
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14069,14554,10507,14787,
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13016,15263,14872,10838};
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size_t device_size = 32;
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auto trans_tmp = std::vector<uint8_t>(device_size);
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FormatArgs format_args{data, device_size, kOpFormat_NCHW, kOpFormat_HWCN,
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{2, 2, 2, 2}, {2, 2, 2, 2}, kNumberTypeFloat16};
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EXPECT_EQ(trans::TransFormatFromDeviceToHost(format_args, trans_tmp.data()), true);
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for (size_t i = 0; i < sizeof(res) / sizeof(res[0]); i++) {
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EXPECT_EQ((reinterpret_cast<uint16_t *>(trans_tmp.data()))[i], res[i]);
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}
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}
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TEST_F(FormatTransTest, nchw_to_nhwc) {
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uint16_t data[2*2*2*2] = {11750,13778,15007,15321,
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15163,13446,15063,14467,
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15056,13284,15219,14797,
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12684,14288,14855,14799};
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uint16_t res[2*2*2*2] = {11750,15163,13778,13446,
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15007,15063,15321,14467,
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15056,12684,13284,14288,
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15219,14855,14797,14799};
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size_t device_size = 32;
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auto trans_tmp = std::vector<uint8_t>(device_size);
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FormatArgs format_args{data, device_size, kOpFormat_NCHW, kOpFormat_NHWC,
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{2, 2, 2, 2}, {2, 2, 2, 2}, kNumberTypeFloat16};
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EXPECT_EQ(trans::TransFormat(format_args, trans_tmp.data()), true);
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for (size_t i = 0; i < sizeof(res) / sizeof(res[0]); i++) {
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EXPECT_EQ((reinterpret_cast<uint16_t *>(trans_tmp.data()))[i], res[i]);
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}
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}
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TEST_F(FormatTransTest, nhwc_to_nchw) {
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uint16_t data[2*2*2*2] = {11750,15163,13778,13446,
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15007,15063,15321,14467,
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15056,12684,13284,14288,
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15219,14855,14797,14799};
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uint16_t res[2*2*2*2] = {11750,13778,15007,15321,
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15163,13446,15063,14467,
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15056,13284,15219,14797,
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12684,14288,14855,14799};
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size_t device_size = 32;
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auto trans_tmp = std::vector<uint8_t>(device_size);
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FormatArgs format_args{data, device_size, kOpFormat_NCHW, kOpFormat_NHWC,
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{2, 2, 2, 2}, {2, 2, 2, 2}, kNumberTypeFloat16};
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EXPECT_EQ(trans::TransFormatFromDeviceToHost(format_args, trans_tmp.data()), true);
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for (size_t i = 0; i < sizeof(res) / sizeof(res[0]); i++) {
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EXPECT_EQ((reinterpret_cast<uint16_t *>(trans_tmp.data()))[i], res[i]);
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}
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}
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} // namespace trans
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} // namespace mindspore
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