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update the tensor base class, test=develop
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/* 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. */ | ||
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#pragma once | ||
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// See Note [ Why still include the fluid headers? ] | ||
#include "paddle/fluid/platform/bfloat16.h" | ||
#include "paddle/fluid/platform/complex.h" | ||
#include "paddle/fluid/platform/enforce.h" | ||
#include "paddle/fluid/platform/errors.h" | ||
#include "paddle/fluid/platform/float16.h" | ||
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namespace paddle { | ||
namespace experimental { | ||
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using complex64 = ::paddle::platform::complex<float>; | ||
using complex128 = ::paddle::platform::complex<double>; | ||
using float16 = ::paddle::platform::float16; | ||
using bfloat16 = ::paddle::platform::bfloat16; | ||
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enum class DataType { | ||
kUndef = 0, | ||
kBOOL, | ||
kINT8, // Char | ||
kUINT8, // BYte | ||
kINT16, | ||
kINT32, | ||
kUINT32, | ||
kINT64, | ||
kUINT64, | ||
kBFLOAT16, | ||
kFLOAT16, | ||
kUINT16, | ||
kFLOAT32, | ||
kFLOAT64, | ||
kCOMPLEX64, | ||
kCOMPLEX128, | ||
kNumDataTypes | ||
}; | ||
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inline size_t SizeOf(DataType data_type) { | ||
switch (data_type) { | ||
case DataType::kBOOL: | ||
case DataType::kUINT8: | ||
case DataType::kINT8: | ||
return 1; | ||
case DataType::kFLOAT16: | ||
case DataType::kINT16: | ||
case DataType::kUINT16: | ||
return 2; | ||
case DataType::kFLOAT32: | ||
case DataType::kINT32: | ||
case DataType::kUINT32: | ||
return 4; | ||
case DataType::kFLOAT64: | ||
case DataType::kINT64: | ||
case DataType::kUINT64: | ||
return 8; | ||
case DataType::kUndef: | ||
case DataType::kBFLOAT16: | ||
case DataType::kCOMPLEX64: | ||
case DataType::kCOMPLEX128: | ||
case DataType::kNumDataTypes: | ||
PADDLE_THROW(platform::errors::Unimplemented( | ||
"Data type %d is not supported by tensor.", | ||
static_cast<int>(data_type))); | ||
return 0; | ||
} | ||
} | ||
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#define PT_FOR_EACH_DATA_TYPE(_) \ | ||
_(bool, DataType::kBOOL) \ | ||
_(int8_t, DataType::kINT8) \ | ||
_(uint8_t, DataType::kUINT8) \ | ||
_(int16_t, DataType::kINT16) \ | ||
_(int, DataType::kINT32) \ | ||
_(int64_t, DataType::kINT64) \ | ||
_(bfloat16, DataType::kBFLOAT16) \ | ||
_(float16, DataType::kFLOAT16) \ | ||
_(float, DataType::kFLOAT32) \ | ||
_(double, DataType::kFLOAT64) \ | ||
_(complex64, DataType::kCOMPLEX64) \ | ||
_(complex128, DataType::kCOMPLEX128) | ||
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template <DataType T> | ||
struct DataTypeToCppType; | ||
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template <typename T> | ||
struct CppTypeToDataType; | ||
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#define PT_SPECIALIZE_DataTypeToCppType(cpp_type, data_type) \ | ||
template <> \ | ||
struct DataTypeToCppType<data_type> { \ | ||
using type = cpp_type; \ | ||
}; | ||
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PT_FOR_EACH_DATA_TYPE(PT_SPECIALIZE_DataTypeToCppType) | ||
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#undef PT_SPECIALIZE_DataTypeToCppType | ||
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#define PT_SPECIALIZE_CppTypeToDataType(cpp_type, data_type) \ | ||
template <> \ | ||
struct CppTypeToDataType<cpp_type> { \ | ||
constexpr static DataType Type() { return data_type; } \ | ||
}; | ||
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PT_FOR_EACH_DATA_TYPE(PT_SPECIALIZE_CppTypeToDataType) | ||
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#undef PT_SPECIALIZE_CppTypeToDataType | ||
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inline std::ostream& operator<<(std::ostream& os, DataType dtype) { | ||
switch (dtype) { | ||
case DataType::kUndef: | ||
os << "Undefined"; | ||
break; | ||
case DataType::kBOOL: | ||
os << "bool"; | ||
break; | ||
case DataType::kINT8: | ||
os << "int8"; | ||
break; | ||
case DataType::kUINT8: | ||
os << "uint8"; | ||
break; | ||
case DataType::kINT16: | ||
os << "int16"; | ||
break; | ||
case DataType::kINT32: | ||
os << "int32"; | ||
break; | ||
case DataType::kINT64: | ||
os << "int64"; | ||
break; | ||
case DataType::kBFLOAT16: | ||
os << "bfloat16"; | ||
break; | ||
case DataType::kFLOAT16: | ||
os << "float16"; | ||
break; | ||
case DataType::kFLOAT32: | ||
os << "float32"; | ||
break; | ||
case DataType::kFLOAT64: | ||
os << "float64"; | ||
break; | ||
case DataType::kCOMPLEX64: | ||
os << "complex64"; | ||
break; | ||
case DataType::kCOMPLEX128: | ||
os << "complex128"; | ||
break; | ||
default: | ||
// TODO(chenweihang): change to enforce later | ||
throw std::runtime_error("Invalid DataType type."); | ||
} | ||
return os; | ||
} | ||
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inline DataType& operator++(DataType& dtype, int) { | ||
dtype = | ||
DataType(static_cast<std::underlying_type<DataType>::type>(dtype) + 1); | ||
return dtype; | ||
} | ||
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} // namespace experimental | ||
} // namespace paddle | ||
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namespace pt { | ||
using DataType = paddle::experimental::DataType; | ||
} |
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Original file line number | Diff line number | Diff line change |
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/* 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. */ | ||
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#include "paddle/tcmpt/core/allocator.h" | ||
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namespace paddle { | ||
namespace tcmpt {} // namespace tcmpt | ||
} // namespace paddle |
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