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96 lines
3.0 KiB
96 lines
3.0 KiB
/* Copyright (c) 2021 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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#ifndef _WIN32
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#include <unistd.h>
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#endif
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#include <string>
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#include <thread> // NOLINT
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#include <vector>
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#include "gtest/gtest.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/operators/dropout_op.h"
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#include "paddle/fluid/operators/math/math_function.h"
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#include "paddle/fluid/string/printf.h"
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namespace f = paddle::framework;
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namespace p = paddle::platform;
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namespace m = paddle::operators::math;
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USE_OP(range);
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USE_OP_DEVICE_KERNEL(range, NPU);
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template <typename T>
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void Compare(f::Scope* scope, const p::DeviceContext& ctx,
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std::string op_type) {
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// init
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auto start = scope->Var("Start");
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auto tensor_start = start->GetMutable<f::LoDTensor>();
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std::vector<T> init_start;
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init_start.push_back(static_cast<T>(1));
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TensorFromVector(init_start, ctx, tensor_start);
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tensor_start->Resize({1});
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auto end = scope->Var("End");
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auto tensor_end = end->GetMutable<f::LoDTensor>();
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std::vector<T> init_end;
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init_end.push_back(static_cast<T>(10));
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TensorFromVector(init_end, ctx, tensor_end);
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tensor_end->Resize({1});
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auto step = scope->Var("Step");
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auto tensor_step = step->GetMutable<f::LoDTensor>();
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std::vector<T> init_step;
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init_step.push_back(static_cast<T>(2));
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TensorFromVector(init_step, ctx, tensor_step);
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tensor_step->Resize({1});
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ctx.Wait();
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auto place = ctx.GetPlace();
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auto out = scope->Var("Out");
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auto tensor_out = out->GetMutable<f::LoDTensor>();
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// run
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auto op = f::OpRegistry::CreateOp(op_type, {{"Start", {"Start"}},
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{"End", {"End"}},
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{"Step", {"Step"}}},
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{{"Out", {"Out"}}}, {});
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op->Run(*scope, place);
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std::vector<T> out_vec;
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TensorToVector(*tensor_out, ctx, &out_vec);
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ctx.Wait();
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EXPECT_EQ(static_cast<T>(out_vec.size()), static_cast<T>(5));
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EXPECT_EQ(static_cast<T>(out_vec[0]), static_cast<T>(1.0));
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EXPECT_EQ(static_cast<T>(out_vec[1]), static_cast<T>(3.0));
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EXPECT_EQ(static_cast<T>(out_vec[2]), static_cast<T>(5.0));
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EXPECT_EQ(static_cast<T>(out_vec[3]), static_cast<T>(7.0));
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EXPECT_EQ(static_cast<T>(out_vec[4]), static_cast<T>(9.0));
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}
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TEST(range, NPU) {
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f::Scope scope;
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p::NPUDeviceContext ctx(p::NPUPlace(0));
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Compare<int>(&scope, ctx, "range");
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}
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