未验证 提交 f110700d 编写于 作者: Z zhangyang0701 提交者: GitHub

Merge branch 'develop' into develop

......@@ -20,7 +20,9 @@ limitations under the License. */
#include <vector>
namespace paddle_mobile {
enum class Precision : int { FP32 = 0 };
enum class Precision : int { FP32 = 0, FP16 = 1 };
typedef int16_t half;
template <Precision p>
struct PrecisionTrait {
......@@ -31,6 +33,10 @@ template <>
struct PrecisionTrait<Precision::FP32> {
typedef float ptype;
};
template <>
struct PrecisionTrait<Precision::FP16> {
typedef half ptype;
};
//! device type
enum DeviceTypeEnum { kINVALID = -1, kCPU = 0, kFPGA = 1, kGPU_MALI = 2 };
......
......@@ -14,11 +14,13 @@ limitations under the License. */
#pragma once
#include <algorithm>
#include <map>
#include <string>
#include <vector>
#include "framework/operator.h"
#include "node.h"
#include "framework/program/program-optimize/node.h"
namespace paddle_mobile {
namespace framework {
......
......@@ -16,14 +16,15 @@ limitations under the License. */
#include <cstdint>
#include <cstring>
#include <fstream>
#include <memory>
#include <string>
#include <type_traits>
#include <typeindex>
#include <vector>
#include "common/enforce.h"
#include <fstream>
#include "common/enforce.h"
#include "common/types.h"
#include "framework/data_layout.h"
#include "framework/ddim.h"
#include "memory/t_malloc.h"
......@@ -63,7 +64,8 @@ struct SizeOfTypeFunctor<HEAD, TAIL...> {
};
static inline size_t SizeOfType(std::type_index type) {
SizeOfTypeFunctor<int, float, double, int16_t, int64_t, bool, size_t> functor;
SizeOfTypeFunctor<int, half, float, double, int16_t, int64_t, bool, size_t>
functor;
size_t size = functor(type);
PADDLE_MOBILE_ENFORCE(size != 0UL, "Cannot get size of type %s", type.name());
......
......@@ -187,7 +187,7 @@ void Executor<Dtype, P>::LoadMemory(const framework::VarDesc var_desc,
memcpy(&max_value, *data + sizeof(float), sizeof(float));
*data += 2 * sizeof(float);
const float factor = (max_value - min_value) / 255.0;
uint8_t *uint8_data = (uint8_t *)(*data);
uint8_t *uint8_data = reinterpret_cast<uint8_t *>(*data);
for (int k = 0; k < memory_size; ++k) {
static_cast<float *>(memory)[k] = uint8_data[k] * factor + min_value;
}
......@@ -420,6 +420,6 @@ std::vector<typename Executor<Dtype, P>::Ptype> Executor<Dtype, P>::Predict(
template class Executor<CPU, Precision::FP32>;
template class Executor<FPGA, Precision::FP32>;
template class Executor<GPU_MALI, Precision::FP32>;
template class Executor<GPU_MALI, Precision::FP16>;
} // namespace paddle_mobile
......@@ -14,7 +14,9 @@ limitations under the License. */
#ifdef CONCAT_OP
#include "concat_op.h"
#include <vector>
#include "operators/concat_op.h"
namespace paddle_mobile {
namespace operators {
......@@ -68,6 +70,7 @@ REGISTER_OPERATOR_CPU(concat, ops::ConcatOp);
REGISTER_OPERATOR_MALI_GPU(concat, ops::ConcatOp);
#endif
#ifdef PADDLE_MOBILE_FPGA
REGISTER_OPERATOR_FPGA(concat, ops::ConcatOp);
#endif
#endif
......@@ -53,6 +53,7 @@ USE_OP_CPU(concat);
USE_OP_MALI_GPU(concat);
#endif
#ifdef PADDLE_MOBILE_FPGA
USE_OP_FPGA(concat);
#endif
#endif
/* Copyright (c) 2018 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 CONCAT_OP
#include "operators/kernel/concat_kernel.h"
namespace paddle_mobile {
namespace operators {
template <>
bool ConcatKernel<FPGA, half>::Init(ConcatParam *param) {
return true;
}
template <>
void ConcatKernel<FPGA, half>::Compute(const ConcatParam &param) const {
auto inputs = param.Inputs();
auto *out = param.Out();
int64_t axis = param.Axis();
out->mutable_data<half>();
DDim out_dim = out->dims();
int pixels = out_dim[1] * out_dim[2];
auto out_channel = out_dim[3];
auto out_offset = 0;
for (int i = 0; i < inputs.size(); ++i) {
auto input = inputs[i];
auto channels = input[3];
out_offset += channels;
auto src = input->data<half>();
for (int j = 0; j < pixels; ++j) {
auto dst = out->data<half>() + out_offset;
memory::Copy(dst, src, sizeof(half));
}
}
}
} // namespace operators
} // namespace paddle_mobile
#endif
......@@ -65,6 +65,8 @@ endif()
file(TO_CMAKE_PATH "${ANDROID_NDK}" ANDROID_NDK)
# Android NDK revision
message("${ANDROID_NDK}")
file(READ "${ANDROID_NDK}/source.properties" ANDROID_NDK_SOURCE_PROPERTIES)
set(ANDROID_NDK_SOURCE_PROPERTIES_REGEX
"^Pkg\\.Desc = Android NDK\nPkg\\.Revision = ([0-9]+)\\.")
......
......@@ -40,8 +40,8 @@ build_for_android() {
fi
if [ -z "$PLATFORM" ]; then
PLATFORM="arm-v7a" # Users could choose "arm-v8a" platform.
# PLATFORM="arm-v8a"
# PLATFORM="arm-v7a" # Users could choose "arm-v8a" platform.
PLATFORM="arm-v8a"
fi
if [ "${PLATFORM}" = "arm-v7a" ]; then
......@@ -63,7 +63,7 @@ build_for_android() {
TOOLCHAIN_FILE="./tools/android-cmake/android.toolchain.cmake"
ANDROID_ARM_MODE="arm"
if [ "${#NETS}" > 1 ]; then
if [ "${#NETS}" -gt 1 ]; then
cmake .. \
-B"../build/release/${PLATFORM}" \
-DANDROID_ABI="${ABI}" \
......@@ -99,7 +99,7 @@ build_for_ios() {
BUILD_DIR=../build/release/"${PLATFORM}"/
TOOLCHAIN_FILE="./tools/ios-cmake/ios.toolchain.cmake"
mkdir -p "${BUILD_DIR}"
if [ "${#NETS}" > 1 ]; then
if [ "${#NETS}" -gt 1 ]; then
cmake .. \
-B"${BUILD_DIR}" \
-DCMAKE_BUILD_TYPE="${MODE}" \
......
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