add Half support for AdaptiveAvgPool2d and AdaptiveMaxPool2d on CPU #102079

CaoE · 2023-05-23T13:00:09Z

Stack from ghstack (oldest at bottom):

-> add Half support for AdaptiveAvgPool2d and AdaptiveMaxPool2d on CPU #102079

Testing

Single core:

AdaptiveMaxPool2d:

shape	fp32 forward / ms	fp16 forward / ms	bf16 forward / ms	fp32 backward / ms	fp16 backward / ms	bf16 backward / ms
input size: (2, 56, 264, 264), output size: (100, 100)	71.5826	78.7460	85.7195	7.3925	6.0618	6.2596
input size: (2, 56, 264, 264), output size: (50, 50)	28.122	30.8572	36.6366	6.2645	3.4781	3.6628
input size: (32, 32, 100, 100), output size: (50, 50)	109.2978	115.0330	121.9500	13.4329	10.2769	12.1975
input size: (16, 4, 300, 300), output size: (100, 100)	34.1849	36.5876	40.9862	4.7719	4.3362	4.1417

28 cores:

AdaptiveMaxPool2d:

shape	fp32 forward / ms	fp16 forward / ms	bf16 forward / ms	fp32 backward / ms	fp16 backward / ms	bf16 backward / ms
input size: (2, 56, 264, 264), output size: (100, 100)	3.1809	3.5057	3.6728	0.6657	0.3138	0.2934
input size: (2, 56, 264, 264), output size: (50, 50)	1.2779	1.3869	1.5238	0.4223	0.1775	0.1825
input size: (32, 32, 100, 100), output size: (50, 50)	4.7942	4.9670	5.2330	1.7146	0.6477	0.7001
input size: (16, 4, 300, 300), output size: (100, 100)	1.9522	2.0879	2.3155	0.4370	0.3175	0.2828

cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10

[ghstack-poisoned]

pytorch-bot · 2023-05-23T13:00:12Z

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ghstack-source-id: d1ccf00 Pull Request resolved: #102079

…n CPU" cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: 9b6db36 Pull Request resolved: #102079

ghstack-source-id: 9b6db36 Pull Request resolved: pytorch#102079

…2d on CPU" ### Testing Single core: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: 4dabbd7 Pull Request resolved: #102079

…2d on CPU" ### Testing Single core: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: 589d8d3 Pull Request resolved: #102079

…2d on CPU" ### Testing Single core: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: b32e170 Pull Request resolved: #102079

…2d on CPU" ### Testing Single core: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: f0c7946 Pull Request resolved: #102079

…2d on CPU" ### Testing Single core: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: ab3dafa Pull Request resolved: #102079

CaoE · 2023-10-13T01:19:22Z

@malfet Could you please review this PR again ? Thanks.

malfet

Thank you for eliminating the if, not please do not make unnecessary changes (like renaming accsalar_t, which is used throughout the folder) or defining param_t`, which is tautologically equal to float in the code as it is written right now)

malfet · 2023-10-13T02:02:13Z

aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp


 namespace {

-template <typename scalar_t, typename accscalar_t>


Sorry, I don't understand the reply. This change is unrelated to PR title/description, please do not make it.

CaoE · 2023-10-17T08:01:38Z

@malfet Thanks for your comments, but I still have some doubts. In pytorch there are codes like using accscalar_t = at::acc_type<scalar_t, false>. Such accscalar_t is double when scalar_t is float. It is different from opmath type. So I want to make it clear to use opmath_type instead to indicate that we just use float for half/bfloat16.

…2d on CPU" ### Testing Single core: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: 59571e5 Pull Request resolved: #102079

…2d on CPU" ### Testing Single core: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 71.5826 | 78.7460 | 85.7195 | 7.3925 | 6.0618 | 6.2596 input size: (2, 56, 264, 264), output size: (50, 50) | 28.122 | 30.8572 | 36.6366 | 6.2645 | 3.4781 | 3.6628 input size: (32, 32, 100, 100), output size: (50, 50) | 109.2978 | 115.0330 | 121.9500 | 13.4329 | 10.2769 | 12.1975 input size: (16, 4, 300, 300), output size: (100, 100) | 34.1849 | 36.5876 | 40.9862 | 4.7719 | 4.3362 | 4.1417 28 cores: AdaptiveMaxPool2d: shape | fp32 forward / ms | fp16 forward / ms | bf16 forward / ms | fp32 backward / ms | fp16 backward / ms | bf16 backward / ms -- | -- | -- | -- | -- | -- | -- input size: (2, 56, 264, 264), output size: (100, 100) | 3.1809 | 3.5057 | 3.6728 | 0.6657 | 0.3138 | 0.2934 input size: (2, 56, 264, 264), output size: (50, 50) | 1.2779 | 1.3869 | 1.5238 | 0.4223 | 0.1775 | 0.1825 input size: (32, 32, 100, 100), output size: (50, 50) | 4.7942 | 4.9670 | 5.2330 | 1.7146 | 0.6477 | 0.7001 input size: (16, 4, 300, 300), output size: (100, 100) | 1.9522 | 2.0879 | 2.3155 | 0.4370 | 0.3175 | 0.2828 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

ghstack-source-id: 7710508 Pull Request resolved: #102079

CaoE · 2023-10-23T08:35:05Z

@malfet I removed some unnecessary changes. Could you please review this PR ? Thank you.

CaoE · 2023-11-20T02:20:46Z

@malfet Could you please review this PR again ? Thank you for your help.

malfet

Thank you for the updates, looks good to me

malfet · 2023-11-20T02:39:53Z

@pytorchbot merge

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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[ghstack-poisoned]

CaoE requested review from mruberry and ngimel as code owners May 23, 2023 13:00

github-actions bot added the module: cpu CPU specific problem (e.g., perf, algorithm) label May 23, 2023

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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ghstack-source-id: d1ccf00 Pull Request resolved: #102079

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CaoE marked this pull request as draft May 24, 2023 00:36

Update on "add Half support for AdaptiveAvgPool and AdaptiveMaxPool o…

1189be7

…n CPU" cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

Update on "add Half support for AdaptiveAvgPool and AdaptiveMaxPool o…

be9d3f0

…n CPU" cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]

CaoE added a commit that referenced this pull request May 29, 2023

add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

42ee411

ghstack-source-id: 9b6db36 Pull Request resolved: #102079

CaoE added module: half Related to float16 half-precision floats ciflow/trunk Trigger trunk jobs on your pull request ciflow/mps Run MPS tests (subset of trunk) labels May 29, 2023

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CaoE changed the title ~~add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU~~ add Half support for AdaptiveAvgPool2d and AdaptiveMaxPool2d on CPU Jun 18, 2023

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

2cfbfe2

ghstack-source-id: 9b6db36 Pull Request resolved: pytorch#102079

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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ghstack-source-id: 4dabbd7 Pull Request resolved: #102079

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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ghstack-source-id: 589d8d3 Pull Request resolved: #102079

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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ghstack-source-id: b32e170 Pull Request resolved: #102079

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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ghstack-source-id: f0c7946 Pull Request resolved: #102079

CaoE added a commit that referenced this pull request Oct 12, 2023

add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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add _amp_foreach_non_finite_check_and_unscale_cpu_ and _amp_update_scale_cpu_ kernels on CPU #109281

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add Half support for AdaptiveAvgPool and AdaptiveMaxPool on CPU

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		namespace {

		template <typename scalar_t, typename accscalar_t>

add Half support for AdaptiveAvgPool2d and AdaptiveMaxPool2d on CPU #102079

add Half support for AdaptiveAvgPool2d and AdaptiveMaxPool2d on CPU #102079

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