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[NPU] add range op (#31560)

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* add range op

* fix codestyle; call GetSize directly

Co-authored-by: oyjxer <1728722986@qq.com>
revert-31562-mean
OleNet 4 years ago committed by GitHub
parent 0234693040
commit ec2160a622
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 178 additions and 6 deletions
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11
paddle/fluid/operators/CMakeLists.txt
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@ -138,8 +138,8 @@ set(OPERATOR_DEPS ${OPERATOR_DEPS} ${COMMON_OP_DEPS})
set(GLOB_OPERATOR_DEPS ${OPERATOR_DEPS} CACHE INTERNAL "Global Op dependencies")
cc_test(test_common_infer_shape_functions SRCS test_common_infer_shape_functions.cc DEPS common_infer_shape_functions ${COMMON_OP_DEPS} activation_op elementwise_add_op softmax_op softmax)
cc_test(assign_op_test SRCS assign_op_test.cc DEPS assign_op)
cc_test(gather_test SRCS gather_test.cc DEPS tensor)
cc_test(assign_op_test SRCS assign_op_test.cc DEPS assign_op)
cc_test(scatter_test SRCS scatter_test.cc DEPS tensor math_function)
cc_test(beam_search_decode_op_test SRCS beam_search_decode_op_test.cc DEPS lod_tensor)
cc_test(strided_memcpy_test SRCS strided_memcpy_test.cc DEPS tensor memory)
@ -152,16 +152,15 @@ else()
cc_test(test_leaky_relu_grad_grad_functor SRCS test_leaky_relu_grad_grad_functor.cc DEPS tensor device_context eigen3)
endif()
# ascend gather_op_npu unittest
if (WITH_ASCEND_CL)
cc_test(gather_op_npu_test SRCS gather_op_npu_test.cc DEPS gather_op tensor op_registry scope device_context enforce executor)
endif()
cc_library(tensor_formatter SRCS tensor_formatter.cc DEPS ${OP_HEADER_DEPS})
if (WITH_PYTHON)
cc_library(py_func_op SRCS py_func_op.cc DEPS op_registry python pybind)
endif()
if (WITH_ASCEND_CL)
cc_test(range_op_npu_test SRCS range_op_npu_test.cc DEPS op_registry range_op scope device_context enforce executor)
endif()
set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library")
add_subdirectory(benchmark)

78
paddle/fluid/operators/range_op_npu.cc
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@ -0,0 +1,78 @@
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#ifdef PADDLE_WITH_ASCEND_CL
#include <memory>
#include <string>
#include "paddle/fluid/operators/range_op.h"
#include "paddle/fluid/operators/npu_op_runner.h"
#include "paddle/fluid/operators/utils.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/tensor_util.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/operators/dropout_op.h"
#include "paddle/fluid/operators/math/math_function.h"
namespace paddle {
namespace operators {
template <typename DeviceContext, typename T>
class RangeNPUKernel : public framework::OpKernel<T> {
public:
void Compute(const framework::ExecutionContext& context) const override {
auto* start_t = context.Input<framework::Tensor>("Start");
auto* end_t = context.Input<framework::Tensor>("End");
auto* step_t = context.Input<framework::Tensor>("Step");
auto* out = context.Output<framework::Tensor>("Out");
framework::Tensor n;
framework::TensorCopySync(*start_t, platform::CPUPlace(), &n);
T start = n.data<T>()[0];
framework::TensorCopySync(*end_t, platform::CPUPlace(), &n);
T end = n.data<T>()[0];
framework::TensorCopySync(*step_t, platform::CPUPlace(), &n);
T step = n.data<T>()[0];
int64_t size = 0;
GetSize(start, end, step, &size);
out->Resize(framework::make_ddim({size}));
out->mutable_data<T>(context.GetPlace());
std::vector<T> odata;
T value = start;
for (int64_t i = 0; i < size; ++i) {
odata.push_back(value);
value += step;
}
framework::TensorFromVector(odata, context.device_context(), out);
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP_NPU_KERNEL(
range,
ops::RangeNPUKernel<paddle::platform::NPUDeviceContext, int>,
ops::RangeNPUKernel<paddle::platform::NPUDeviceContext, float>,
ops::RangeNPUKernel<paddle::platform::NPUDeviceContext, double>)
#endif

95
paddle/fluid/operators/range_op_npu_test.cc
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@ -0,0 +1,95 @@
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#ifndef _WIN32
#include <unistd.h>
#endif
#include <string>
#include <thread> // NOLINT
#include <vector>
#include "gtest/gtest.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/operators/dropout_op.h"
#include "paddle/fluid/operators/math/math_function.h"
#include "paddle/fluid/string/printf.h"
namespace f = paddle::framework;
namespace p = paddle::platform;
namespace m = paddle::operators::math;
USE_OP(range);
USE_OP_DEVICE_KERNEL(range, NPU);
template <typename T>
void Compare(f::Scope* scope, const p::DeviceContext& ctx,
std::string op_type) {
// init
auto start = scope->Var("Start");
auto tensor_start = start->GetMutable<f::LoDTensor>();
std::vector<T> init_start;
init_start.push_back(static_cast<T>(1));
TensorFromVector(init_start, ctx, tensor_start);
tensor_start->Resize({1});
auto end = scope->Var("End");
auto tensor_end = end->GetMutable<f::LoDTensor>();
std::vector<T> init_end;
init_end.push_back(static_cast<T>(10));
TensorFromVector(init_end, ctx, tensor_end);
tensor_end->Resize({1});
auto step = scope->Var("Step");
auto tensor_step = step->GetMutable<f::LoDTensor>();
std::vector<T> init_step;
init_step.push_back(static_cast<T>(2));
TensorFromVector(init_step, ctx, tensor_step);
tensor_step->Resize({1});
ctx.Wait();
auto place = ctx.GetPlace();
auto out = scope->Var("Out");
auto tensor_out = out->GetMutable<f::LoDTensor>();
// run
auto op = f::OpRegistry::CreateOp(op_type, {{"Start", {"Start"}},
{"End", {"End"}},
{"Step", {"Step"}}},
{{"Out", {"Out"}}}, {});
op->Run(*scope, place);
std::vector<T> out_vec;
TensorToVector(*tensor_out, ctx, &out_vec);
ctx.Wait();
EXPECT_EQ(static_cast<T>(out_vec.size()), static_cast<T>(5));
EXPECT_EQ(static_cast<T>(out_vec[0]), static_cast<T>(1.0));
EXPECT_EQ(static_cast<T>(out_vec[1]), static_cast<T>(3.0));
EXPECT_EQ(static_cast<T>(out_vec[2]), static_cast<T>(5.0));
EXPECT_EQ(static_cast<T>(out_vec[3]), static_cast<T>(7.0));
EXPECT_EQ(static_cast<T>(out_vec[4]), static_cast<T>(9.0));
}
TEST(range, NPU) {
f::Scope scope;
p::NPUDeviceContext ctx(p::NPUPlace(0));
Compare<int>(&scope, ctx, "range");
}
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