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Support double precision #4455

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Merged
merged 10 commits into from
Sep 28, 2017
Merged

Support double precision #4455

merged 10 commits into from
Sep 28, 2017

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@reyoung
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@reyoung reyoung commented Sep 27, 2017 •
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#Fix #4454

@reyoung reyoung requested review from JiayiFeng and QiJune September 27, 2017 23:18
QiJune
QiJune reviewed Sep 27, 2017
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paddle/framework/operator.h Outdated
int place = key.place_.which();
int data_type = static_cast<int>(key.data_type_);
// NOTE: Number of places limit to 16.
int pre_hash = data_type << 4 | (place & 0x0F);
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@QiJune QiJune Sep 27, 2017

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Why we need a pre_hash here?

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@reyoung reyoung Sep 28, 2017

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Because we should hash two private data together. So I combine them manually.

paddle/framework/operator.h Outdated
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@QiJune QiJune Sep 27, 2017

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Maybe InferDataType is a better name.

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@reyoung reyoung Sep 28, 2017

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Actually, it is not an inference, i.e., it is not inference the output data type by inputs. It indicates the kernel data type.

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QiJune commented Sep 28, 2017 •
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Please refer to REGISTER_OP_KERNEL.
We have to modify this macro too,

#define REGISTER_OP_KERNEL(op_type, DEVICE_TYPE, DATA_TYPE, place_class, ...)        \

static ::paddle::framework::OpKernelRegistrar<place_class, __VA_ARGS__>                          \
      __op_kernel_registrar_##op_type##_##DEVICE_TYPE##DATA_TYPE##__(#op_type);     \

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reyoung commented Sep 28, 2017

We have to modify this macro too,

Actually, no. It is not needed. The datatype is stored in OpKernel<T>. It does not need to add to macro again.

@reyoung reyoung force-pushed the feature/make_paddle_support_double branch from 23c434c to 2c05465 Compare September 28, 2017 00:09
@reyoung reyoung force-pushed the feature/make_paddle_support_double branch from e38db7f to f1913d4 Compare September 28, 2017 00:27
@reyoung reyoung force-pushed the feature/make_paddle_support_double branch from 1ca9e77 to ae3dca7 Compare September 28, 2017 02:15
emailweixu
emailweixu reviewed Sep 28, 2017
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paddle/framework/operator.h Outdated
int place = key.place_.which();
int data_type = static_cast<int>(key.data_type_);
// NOTE: Number of places limit to 16.
int pre_hash = data_type << 4 | (place & 0x0F);
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@emailweixu emailweixu Sep 28, 2017

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define 4 and 0x0f somewhere.

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@reyoung reyoung Sep 28, 2017

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Done.

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@QiJune QiJune Sep 28, 2017

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Maybe we can have a universal method, HashCombine.
Please refer to Hash64Combine in tensorflow

@reyoung reyoung changed the title Add Skeleton of Double support Support double precision Sep 28, 2017
JiayiFeng
JiayiFeng reviewed Sep 28, 2017
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paddle/framework/op_registry.h Outdated

template <typename PlaceType, size_t I, typename... KernelType>
struct OpKernelRegistrarFunctor<PlaceType, false, I, KernelType...> {
using KT = typename std::tuple_element<I, std::tuple<KernelType...>>::type;
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@JiayiFeng JiayiFeng Sep 28, 2017 •
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It's hard to associate KT with 'kernel type'. I think KERNEL_TYPE is better.

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@reyoung reyoung Sep 28, 2017

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Done.

JiayiFeng
JiayiFeng approved these changes Sep 28, 2017
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LGTM. Many thanks!

@reyoung reyoung merged commit 184768e into PaddlePaddle:develop Sep 28, 2017
@reyoung reyoung deleted the feature/make_paddle_support_double branch October 2, 2017 18:19
@qingqing01 qingqing01 mentioned this pull request Dec 4, 2017
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luotao1 pushed a commit that referenced this pull request Nov 9, 2022
@coderbullbull @Ligoml
fix The first round of evaluation (#47256)
0a05129 
* fix paddle.get_default_dtype 

Chinese and English return values are inconsistent

* fix paddle.matmul 文档评估 #4407

把函数的输出改成正确的

* fix paddle.std文档评估 #4370

增加了一个unbiased=False的代码示例，没有增加numpy,怕引起误会。

* fix paddle.load文档测评 #4455 

只把代码拆分了5段

* try

* try

* try

* Update io.py

* Update io.py

* Update creation.py

* Update creation.py

* [Docs]add name description

* [Docs]fix broadcasting issue

Co-authored-by: Ligoml <[email protected]>
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@QiJune QiJune QiJune left review comments

@JiayiFeng JiayiFeng JiayiFeng approved these changes

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4 participants

@reyoung @QiJune @JiayiFeng @emailweixu