From 904eefaf8a82ea10c0a804c58a11110fa296a74a Mon Sep 17 00:00:00 2001 From: hedaoyuan Date: Tue, 3 Jan 2017 15:51:07 +0800 Subject: [PATCH] add TensorShape use to represent tensor of any dimension. --- paddle/function/TensorType.h | 125 +++++++++++++++++++++++++++++ paddle/function/TensorTypeTest.cpp | 53 ++++++++++++ 2 files changed, 178 insertions(+) create mode 100644 paddle/function/TensorType.h create mode 100644 paddle/function/TensorTypeTest.cpp diff --git a/paddle/function/TensorType.h b/paddle/function/TensorType.h new file mode 100644 index 0000000000..0b860f2046 --- /dev/null +++ b/paddle/function/TensorType.h @@ -0,0 +1,125 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +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. */ + +#pragma once + +#include + +namespace paddle { + +enum ValueType { + VALUE_TYPE_INT32 = 0, + VALUE_TYPE_FLOAT = 1, + VALUE_TYPE_DOUBLE = 2, + VALUE_TYPE_BYTE = 3 +}; + +enum DeviceType { + DEVICE_TYPE_UNSPECIFIED = 0, + DEVICE_TYPE_CPU = 1, + DEVICE_TYPE_GPU = 2 +}; + +inline int sizeOfValuType(ValueType valueType) { + if (valueType == VALUE_TYPE_INT32) { + return 4; + } else if (valueType == VALUE_TYPE_FLOAT) { + return 4; + } else if (valueType == VALUE_TYPE_DOUBLE) { + return 8; + } else { + LOG(FATAL) << "Unknown type: " << valueType; + return 0; + } +} + +template +struct DataType; + +template <> +struct DataType { + static const ValueType value = VALUE_TYPE_FLOAT; +}; + +template <> +struct DataType { + static const ValueType value = VALUE_TYPE_DOUBLE; +}; + +/** + * TensorShape used to represent shape of normal tensor. + */ +class TensorShape { +public: + TensorShape() : ndims_(0), nelements_(0) { initDims(0); } + + TensorShape(size_t ndims) : ndims_(ndims), nelements_(1) { initDims(ndims); }; + + TensorShape(std::initializer_list dims) { + ndims_ = dims.size(); + initDims(ndims_); + std::copy(dims.begin(), dims.end(), dims_.begin()); + numElements(); + }; + + TensorShape(const TensorShape& t) + : ndims_(t.ndims_), nelements_(t.nelements_) { + initDims(ndims_); + std::copy(t.dims_.begin(), t.dims_.end(), dims_.begin()); + }; + + // get the size of specified dimension + size_t operator[](size_t dim) const { + CHECK_GE(dim, 0); + CHECK_LT(dim, ndims_); + return dims_[dim]; + } + + // set the size of specified dimension + void setDim(size_t dim, size_t size) { + CHECK_GE(dim, 0); + CHECK_LT(dim, ndims_); + dims_[dim] = size; + numElements(); + } + + // number of dimensions of the tensor + size_t ndims() const { return ndims_; } + + size_t getElements() const { return nelements_; } + +private: + // compute number of elements + void numElements() { + nelements_ = 1; + for (size_t n = 0; n < ndims_; n++) { + nelements_ *= dims_[n]; + } + } + + // init dims_ + void initDims(size_t ndims) { + size_t count = ndims < 4 ? 4 : ndims; + dims_.assign(count, 1); + } + + // number of dimensions + // ndims_ may be not equeal dims_.size() + size_t ndims_; + // number of elements + size_t nelements_; + std::vector dims_; +}; + +} // namespace paddle diff --git a/paddle/function/TensorTypeTest.cpp b/paddle/function/TensorTypeTest.cpp new file mode 100644 index 0000000000..99c25f42a1 --- /dev/null +++ b/paddle/function/TensorTypeTest.cpp @@ -0,0 +1,53 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +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. */ + +#include "TensorType.h" +#include + +namespace paddle { + +TEST(TensorShape, Constructor) { + TensorShape t1; + EXPECT_EQ(t1.ndims(), 0); + EXPECT_EQ(t1.getElements(), 0); + + TensorShape t2(3); + EXPECT_EQ(t2.ndims(), 3); + EXPECT_EQ(t2.getElements(), 1); + + TensorShape t3({8, 10}); + EXPECT_EQ(t3.ndims(), 2); + EXPECT_EQ(t3.getElements(), 80); + + TensorShape t4(t3); + EXPECT_EQ(t4.ndims(), t3.ndims()); + EXPECT_EQ(t4.getElements(), t3.getElements()); + + TensorShape t5({1, 2, 3, 4, 5}); + EXPECT_EQ(t5.ndims(), 5); + EXPECT_EQ(t5.getElements(), 120); +} + +TEST(TensorShape, GetAndSet) { + TensorShape t({1, 2, 3}); + EXPECT_EQ(t.ndims(), 3); + EXPECT_EQ(t.getElements(), 6); + + EXPECT_EQ(t[1], 2); + t.setDim(1, 100); + EXPECT_EQ(t.getElements(), 300); + EXPECT_EQ(t[1], 100); +} + +} // namespace paddle -- GitLab