wehub-resource-sync
66 lines
2.2 KiB
C++
66 lines
2.2 KiB
C++
// Copyright (c) 2021 CINN 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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#include <gtest/gtest.h>
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#include "paddle/cinn/hlir/pe/schedule.h"
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namespace cinn {
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namespace hlir {
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namespace pe {
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using ir::Tensor;
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TEST(load_x86_params, load_x86_params) {
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auto &res = ScheduleParam::get_x86_instance().GetParam();
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std::string key =
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"X86ScheduleConv input 1 3 224 224 weight 64 3 7 7 stride 2 2 padding 3 "
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"3 dilation 1 1";
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ASSERT_EQ(res.count(key), 1);
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paddle::flat_hash_map<std::string, int> conv2d_factors;
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auto target = cinn::common::DefaultHostTarget();
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std::vector<int> shape_input = {1, 64, 56, 56};
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std::vector<int> shape_weights = {64, 64, 3, 3};
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std::vector<int> strides = {1, 1};
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std::vector<int> pads = {1, 1};
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std::vector<int> dilations = {1, 1};
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key =
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GenerateX86ConvKey(shape_input, shape_weights, strides, pads, dilations);
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GetConv2dFactors(&conv2d_factors, -1, -1, -1, -1, -1, Float(32), target, key);
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int ic_bn_size = conv2d_factors["ic_bn"];
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int oc_bn_size = conv2d_factors["oc_bn"];
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int fc_bn_size = conv2d_factors["fc_bn"];
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int ow_bn_size = conv2d_factors["ow_bn"];
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int unroll_kw = conv2d_factors["unroll_kw"];
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ASSERT_EQ(ic_bn_size, 64);
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ASSERT_EQ(fc_bn_size, 64);
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ASSERT_EQ(oc_bn_size, 32);
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ASSERT_EQ(ow_bn_size, 7);
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ASSERT_EQ(unroll_kw, 1);
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}
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TEST(load_cuda_params, load_cuda_params) {
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auto &res = ScheduleParam::get_cuda_instance().GetParam();
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if (res.empty()) {
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CreateCudaSerialData();
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LoadSerialData(&res);
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}
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std::string key = "CudaDirectConvSchedule 1 3 230 230 64 3 7 7 1 64 112 112";
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ASSERT_EQ(res.count(key), 1);
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}
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} // namespace pe
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} // namespace hlir
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} // namespace cinn
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