1 /**
2 * Copyright 2021 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "minddata/dataset/core/global_context.h"
18 #include "minddata/dataset/core/device_tensor.h"
19 #ifdef ENABLE_ACL
20 #include "minddata/dataset/kernels/image/dvpp/utils/MDAclProcess.h"
21 #endif
22 #include "minddata/dataset/util/status.h"
23
24 namespace mindspore {
25 namespace dataset {
26 const int kYuvDefaultChannels = 4;
27
DeviceTensor(const TensorShape & shape,const DataType & type)28 DeviceTensor::DeviceTensor(const TensorShape &shape, const DataType &type)
29 : Tensor(shape, type), device_data_(nullptr), size_(0) {
30 // grab the mem pool from global context and create the allocator for char data area
31 std::shared_ptr<MemoryPool> global_pool = GlobalContext::Instance()->mem_pool();
32 data_allocator_ = std::make_unique<Allocator<unsigned char>>(global_pool);
33 device_data_type_ = type;
34 host_data_tensor_ = nullptr;
35 }
36
CreateEmpty(const TensorShape & shape,const DataType & type,std::shared_ptr<DeviceTensor> * out)37 Status DeviceTensor::CreateEmpty(const TensorShape &shape, const DataType &type, std::shared_ptr<DeviceTensor> *out) {
38 CHECK_FAIL_RETURN_UNEXPECTED(shape.known(), "Invalid shape.");
39 CHECK_FAIL_RETURN_UNEXPECTED(type != DataType::DE_UNKNOWN, "Invalid data type.");
40 CHECK_FAIL_RETURN_UNEXPECTED(out != nullptr, "Invalid nullptr pointer.");
41 const DeviceTensorAlloc *alloc = GlobalContext::Instance()->device_tensor_allocator();
42 *out = std::allocate_shared<DeviceTensor>(*alloc, shape, type);
43 // if it's a string tensor and it has no elements, Just initialize the shape and type.
44 if (!type.IsNumeric() && shape.NumOfElements() == 0) {
45 return Status::OK();
46 }
47
48 CHECK_FAIL_RETURN_UNEXPECTED(type.IsNumeric(), "Number of elements is not 0. The type should be numeric.");
49 CHECK_FAIL_RETURN_UNEXPECTED(out != nullptr, "Allocate memory faiiled.");
50
51 int64_t bytes = (*out)->SizeInBytes();
52 // Don't allocate if we have a tensor with no elements.
53 if (bytes != 0) {
54 RETURN_IF_NOT_OK((*out)->AllocateBuffer(bytes));
55 }
56 return Status::OK();
57 }
58
CreateFromDeviceMemory(const TensorShape & shape,const DataType & type,uint8_t * data_ptr,const uint32_t & dataSize,const std::vector<uint32_t> & attributes,std::shared_ptr<DeviceTensor> * out)59 Status DeviceTensor::CreateFromDeviceMemory(const TensorShape &shape, const DataType &type, uint8_t *data_ptr,
60 const uint32_t &dataSize, const std::vector<uint32_t> &attributes,
61 std::shared_ptr<DeviceTensor> *out) {
62 CHECK_FAIL_RETURN_UNEXPECTED(shape.known(), "Invalid shape.");
63 CHECK_FAIL_RETURN_UNEXPECTED(type != DataType::DE_UNKNOWN, "Invalid data type.");
64 CHECK_FAIL_RETURN_UNEXPECTED(data_ptr != nullptr, "Data pointer is NULL");
65 CHECK_FAIL_RETURN_UNEXPECTED(dataSize > 0, "Invalid data size");
66 CHECK_FAIL_RETURN_UNEXPECTED(out != nullptr, "Out pointer is NULL");
67
68 const DeviceTensorAlloc *alloc = GlobalContext::Instance()->device_tensor_allocator();
69 *out = std::allocate_shared<DeviceTensor>(*alloc, shape, type);
70 CHECK_FAIL_RETURN_UNEXPECTED(out != nullptr, "Allocate memory failed.");
71
72 // if it's a string tensor and it has no elements, Just initialize the shape and type.
73 if (!type.IsNumeric() && shape.NumOfElements() == 0) {
74 return Status::OK();
75 }
76
77 CHECK_FAIL_RETURN_UNEXPECTED(type.IsNumeric(), "Number of elements is not 0. The type should be numeric.");
78
79 int64_t byte_size = (*out)->SizeInBytes();
80
81 // Don't allocate if we have a tensor with no elements.
82 if (byte_size != 0) {
83 RETURN_IF_NOT_OK((*out)->AllocateBuffer(byte_size));
84 }
85
86 CHECK_FAIL_RETURN_UNEXPECTED(attributes.size() >= kYuvDefaultChannels,
87 "Invalid attributes size, should be greater than 4.");
88 CHECK_FAIL_RETURN_UNEXPECTED(
89 (*out)->SetAttributes(data_ptr, dataSize, attributes[0], attributes[1], attributes[2], attributes[3]),
90 "Fail to set attributes for DeviceTensor");
91
92 return Status::OK();
93 }
94
GetHostBuffer()95 const unsigned char *DeviceTensor::GetHostBuffer() {
96 #ifdef ENABLE_ACL
97 Status rc = DataPop_(&host_data_tensor_);
98 if (!rc.IsOk()) {
99 MS_LOG(ERROR) << "Pop device data onto host fail, a nullptr will be returned";
100 return nullptr;
101 }
102 #endif
103 if (!host_data_tensor_) {
104 return nullptr;
105 }
106 return host_data_tensor_->GetBuffer();
107 }
108
GetDeviceBuffer()109 const uint8_t *DeviceTensor::GetDeviceBuffer() { return device_data_; }
110
GetDeviceMutableBuffer()111 uint8_t *DeviceTensor::GetDeviceMutableBuffer() { return device_data_; }
112
DeviceDataType() const113 DataType DeviceTensor::DeviceDataType() const { return device_data_type_; }
114
DeviceDataSize()115 uint32_t DeviceTensor::DeviceDataSize() { return size_; }
116
SetYuvStrideShape_(const uint32_t & width,const uint32_t & widthStride,const uint32_t & height,const uint32_t & heightStride)117 Status DeviceTensor::SetYuvStrideShape_(const uint32_t &width, const uint32_t &widthStride, const uint32_t &height,
118 const uint32_t &heightStride) {
119 YUV_shape_ = {width, widthStride, height, heightStride};
120 return Status::OK();
121 }
122
GetYuvStrideShape()123 std::vector<uint32_t> DeviceTensor::GetYuvStrideShape() { return YUV_shape_; }
124
SetAttributes(uint8_t * data_ptr,const uint32_t & dataSize,const uint32_t & width,const uint32_t & widthStride,const uint32_t & height,const uint32_t & heightStride)125 Status DeviceTensor::SetAttributes(uint8_t *data_ptr, const uint32_t &dataSize, const uint32_t &width,
126 const uint32_t &widthStride, const uint32_t &height, const uint32_t &heightStride) {
127 device_data_ = data_ptr;
128 CHECK_FAIL_RETURN_UNEXPECTED(device_data_ != nullptr, "Fail to get the device data.");
129 RETURN_IF_NOT_OK(SetSize_(dataSize));
130 RETURN_IF_NOT_OK(SetYuvStrideShape_(width, widthStride, height, heightStride));
131 return Status::OK();
132 }
133
SetSize_(const uint32_t & new_size)134 Status DeviceTensor::SetSize_(const uint32_t &new_size) {
135 size_ = new_size;
136 return Status::OK();
137 }
138
139 #ifdef ENABLE_ACL
DataPop_(std::shared_ptr<Tensor> * host_tensor)140 Status DeviceTensor::DataPop_(std::shared_ptr<Tensor> *host_tensor) {
141 CHECK_FAIL_RETURN_UNEXPECTED(host_tensor != nullptr, "host tensor pointer is NULL.");
142 void *resHostBuf = nullptr;
143 APP_ERROR ret = aclrtMallocHost(&resHostBuf, this->DeviceDataSize());
144 if (ret != APP_ERR_OK) {
145 MS_LOG(ERROR) << "Failed to allocate memory from host ret = " << ret;
146 return Status(StatusCode::kMDNoSpace);
147 }
148
149 std::shared_ptr<void> outBuf(resHostBuf, aclrtFreeHost);
150 auto processedInfo_ = outBuf;
151 // Memcpy the output data from device to host
152 ret = aclrtMemcpy(outBuf.get(), this->DeviceDataSize(), this->GetDeviceBuffer(), this->DeviceDataSize(),
153 ACL_MEMCPY_DEVICE_TO_HOST);
154 if (ret != APP_ERR_OK) {
155 MS_LOG(ERROR) << "Failed to copy memory from device to host, ret = " << ret;
156 return Status(StatusCode::kMDOutOfMemory);
157 }
158
159 auto data = std::static_pointer_cast<unsigned char>(processedInfo_);
160 unsigned char *ret_ptr = data.get();
161
162 mindspore::dataset::dsize_t dvppDataSize = this->DeviceDataSize();
163 const mindspore::dataset::TensorShape dvpp_shape({dvppDataSize, 1, 1});
164
165 CHECK_FAIL_RETURN_UNEXPECTED(this->GetYuvStrideShape().size() >= kYuvDefaultChannels,
166 "Invalid YuvShape, should greater than 4");
167
168 uint32_t _output_width_ = this->GetYuvStrideShape()[0];
169 uint32_t _output_widthStride_ = this->GetYuvStrideShape()[1];
170 uint32_t _output_height_ = this->GetYuvStrideShape()[2];
171 uint32_t _output_heightStride_ = this->GetYuvStrideShape()[3];
172 const mindspore::dataset::DataType dvpp_data_type(mindspore::dataset::DataType::DE_UINT8);
173
174 RETURN_IF_NOT_OK(mindspore::dataset::Tensor::CreateFromMemory(dvpp_shape, dvpp_data_type, ret_ptr, host_tensor));
175 CHECK_FAIL_RETURN_UNEXPECTED(host_tensor != nullptr, "Allocate memory failed.");
176
177 (*host_tensor)->SetYuvShape(_output_width_, _output_widthStride_, _output_height_, _output_heightStride_);
178 if (!(*host_tensor)->HasData()) {
179 return Status(StatusCode::kMCDeviceError);
180 }
181
182 MS_LOG(INFO) << "Successfully pop DeviceTensor data onto host";
183 return Status::OK();
184 }
185 #endif
186 } // namespace dataset
187 } // namespace mindspore
188