Convolution.cpp File Reference

#include <nonius/nonius.h++>
#include <arm_compute/core/Types.h>
#include <arm_compute/runtime/NEON/NEScheduler.h>
#include <arm_compute/runtime/NEON/NEFunctions.h>
#include <cstdint>
#include <cassert>
#include <stdexcept>

Go to the source code of this file.

Macros
#define	NONIUS_LOCAL_BENCHMARK(name, ...)

Functions
	NONIUS_PARAM (BATCH, 1)
	NONIUS_PARAM (IFM_C, 3)
	NONIUS_PARAM (IFM_H, 244)
	NONIUS_PARAM (IFM_W, 244)
	NONIUS_PARAM (OFM_C, 3)
	NONIUS_PARAM (OFM_H, 244)
	NONIUS_PARAM (OFM_W, 244)
	NONIUS_PARAM (KER_H, 3)
	NONIUS_PARAM (KER_W, 3)
	NONIUS_PARAM (STRIDE_H, 1)
	NONIUS_PARAM (STRIDE_W, 1)
	NONIUS_LOCAL_BENCHMARK ("NEDirectConvolutionLayer_NCHW", [](nonius::chronometer meter) { NEDirectConvolutionLayer conv;Configuration p{meter};Tensor src_tensor{};Tensor dst_tensor{};Tensor ker_tensor{};Tensor bias_tensor{};src_tensor.allocator() ->init(p.src_info< NCHW >());dst_tensor.allocator() ->init(p.dst_info< NCHW >());ker_tensor.allocator() ->init(p.ker_info< NCHW >());bias_tensor.allocator() ->init(p.bias_info());try { check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(), p.pad_stride_info()));} catch(...) { meter.measure([&](int) { volatile int x=0;return x;});return;} conv.configure(&src_tensor, &ker_tensor, &bias_tensor, &dst_tensor, p.pad_stride_info());src_tensor.allocator() ->allocate();ker_tensor.allocator() ->allocate();bias_tensor.allocator() ->allocate();dst_tensor.allocator() ->allocate();meter.measure([&](int) { conv.run();});}) NONIUS_LOCAL_BENCHMARK("NEDirectConvolutionLayer_NHWC"
src_tensor	allocator () -> init(p.src_info< NHWC >())
	catch (...)
meter	measure ([&](int) { conv.run();})
	NONIUS_LOCAL_BENCHMARK ("NEGEMMConvolutionLayer_NCHW", [](nonius::chronometer meter) { NEGEMMConvolutionLayer conv;Configuration p{meter};Tensor src_tensor{};Tensor dst_tensor{};Tensor ker_tensor{};Tensor bias_tensor{};src_tensor.allocator() ->init(p.src_info< NCHW >());dst_tensor.allocator() ->init(p.dst_info< NCHW >());ker_tensor.allocator() ->init(p.ker_info< NCHW >());bias_tensor.allocator() ->init(p.bias_info());try { check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(), p.pad_stride_info()));} catch(...) { meter.measure([&](int) { volatile int x=0;return x;});return;} conv.configure(&src_tensor, &ker_tensor, &bias_tensor, &dst_tensor, p.pad_stride_info());src_tensor.allocator() ->allocate();ker_tensor.allocator() ->allocate();bias_tensor.allocator() ->allocate();dst_tensor.allocator() ->allocate();meter.measure([&](int) { conv.run();});}) NONIUS_LOCAL_BENCHMARK("NEGEMMConvolutionLayer_NHWC"
	NONIUS_LOCAL_BENCHMARK ("NEWinogradConvolutionLayer_NCHW", [](nonius::chronometer meter) { NEWinogradConvolutionLayer conv;Configuration p{meter};Tensor src_tensor{};Tensor dst_tensor{};Tensor ker_tensor{};Tensor bias_tensor{};src_tensor.allocator() ->init(p.src_info< NCHW >());dst_tensor.allocator() ->init(p.dst_info< NCHW >());ker_tensor.allocator() ->init(p.ker_info< NCHW >());bias_tensor.allocator() ->init(p.bias_info());try { check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(), p.pad_stride_info()));} catch(...) { meter.measure([&](int) { volatile int x=0;return x;});return;} conv.configure(&src_tensor, &ker_tensor, &bias_tensor, &dst_tensor, p.pad_stride_info());src_tensor.allocator() ->allocate();ker_tensor.allocator() ->allocate();bias_tensor.allocator() ->allocate();dst_tensor.allocator() ->allocate();meter.measure([&](int) { conv.run();});}) NONIUS_LOCAL_BENCHMARK("NEWinogradConvolutionLayer_NHWC"
nonius::benchmark_registry &	benchmark_functions (void)

Variables
nonius::chronometer	meter
Configuration	p {meter}
Tensor	src_tensor {}
Tensor	dst_tensor {}
Tensor	ker_tensor {}
Tensor	bias_tensor {}
	try

Macro Definition Documentation

NONIUS_LOCAL_BENCHMARK

#define NONIUS_LOCAL_BENCHMARK	(		name,
			...
	)

Value:

  namespace                                                                                        \
  {                                                                                                \
  static ::nonius::benchmark_registrar                                                             \
    NONIUS_DETAIL_UNIQUE_NAME(benchmark_registrar)(local_benchmark_registry(), name, __VA_ARGS__); \
  }

Definition at line 226 of file Convolution.cpp.

  {                                                                                                \
  static ::nonius::benchmark_registrar                                                             \
    NONIUS_DETAIL_UNIQUE_NAME(benchmark_registrar)(local_benchmark_registry(), name, __VA_ARGS__); \
  }

Function Documentation

allocator()

src_tensor allocator

(

)

-> init(p.src_info< NHWC >())

benchmark_functions()

nonius::benchmark_registry & benchmark_functions

(

void

)

Definition at line 485 of file Convolution.cpp.

{
  return local_benchmark_registry();
}

catch()

catch

(

...

)

Definition at line 296 of file Convolution.cpp.

  {
    meter.measure([&](int) {
      // DO NOTHING
      volatile int x = 0;
      return x;
    });
    return;
  }

References meter.

measure()

meter measure

(

[&] (int) { conv.run();}

)

NONIUS_LOCAL_BENCHMARK() [1/3]

NONIUS_LOCAL_BENCHMARK	(	"NEDirectConvolutionLayer_NCHW"	,
		[] (nonius::chronometer meter) { NEDirectConvolutionLayer conv;Configuration p{meter};Tensor src_tensor{};Tensor dst_tensor{};Tensor ker_tensor{};Tensor bias_tensor{};src_tensor.allocator() ->init(p.src_info< NCHW >());dst_tensor.allocator() ->init(p.dst_info< NCHW >());ker_tensor.allocator() ->init(p.ker_info< NCHW >());bias_tensor.allocator() ->init(p.bias_info());try { check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(), p.pad_stride_info()));} catch(...) { meter.measure([&](int) { volatile int x=0;return x;});return;} conv.configure(&src_tensor, &ker_tensor, &bias_tensor, &dst_tensor, p.pad_stride_info());src_tensor.allocator() ->allocate();ker_tensor.allocator() ->allocate();bias_tensor.allocator() ->allocate();dst_tensor.allocator() ->allocate();meter.measure([&](int) { conv.run();});}
	)

References bias_tensor, dst_tensor, ker_tensor, meter, p, and src_tensor.

NONIUS_LOCAL_BENCHMARK() [2/3]

NONIUS_LOCAL_BENCHMARK	(	"NEGEMMConvolutionLayer_NCHW"	,
		[] (nonius::chronometer meter) { NEGEMMConvolutionLayer conv;Configuration p{meter};Tensor src_tensor{};Tensor dst_tensor{};Tensor ker_tensor{};Tensor bias_tensor{};src_tensor.allocator() ->init(p.src_info< NCHW >());dst_tensor.allocator() ->init(p.dst_info< NCHW >());ker_tensor.allocator() ->init(p.ker_info< NCHW >());bias_tensor.allocator() ->init(p.bias_info());try { check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(), p.pad_stride_info()));} catch(...) { meter.measure([&](int) { volatile int x=0;return x;});return;} conv.configure(&src_tensor, &ker_tensor, &bias_tensor, &dst_tensor, p.pad_stride_info());src_tensor.allocator() ->allocate();ker_tensor.allocator() ->allocate();bias_tensor.allocator() ->allocate();dst_tensor.allocator() ->allocate();meter.measure([&](int) { conv.run();});}
	)

References bias_tensor, dst_tensor, ker_tensor, meter, p, and src_tensor.

NONIUS_LOCAL_BENCHMARK() [3/3]

NONIUS_LOCAL_BENCHMARK	(	"NEWinogradConvolutionLayer_NCHW"	,
		[] (nonius::chronometer meter) { NEWinogradConvolutionLayer conv;Configuration p{meter};Tensor src_tensor{};Tensor dst_tensor{};Tensor ker_tensor{};Tensor bias_tensor{};src_tensor.allocator() ->init(p.src_info< NCHW >());dst_tensor.allocator() ->init(p.dst_info< NCHW >());ker_tensor.allocator() ->init(p.ker_info< NCHW >());bias_tensor.allocator() ->init(p.bias_info());try { check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(), p.pad_stride_info()));} catch(...) { meter.measure([&](int) { volatile int x=0;return x;});return;} conv.configure(&src_tensor, &ker_tensor, &bias_tensor, &dst_tensor, p.pad_stride_info());src_tensor.allocator() ->allocate();ker_tensor.allocator() ->allocate();bias_tensor.allocator() ->allocate();dst_tensor.allocator() ->allocate();meter.measure([&](int) { conv.run();});}
	)

References bias_tensor, dst_tensor, ker_tensor, meter, p, and src_tensor.

NONIUS_PARAM() [1/11]

NONIUS_PARAM	(	BATCH	,
		1
	)

NONIUS_PARAM() [2/11]

NONIUS_PARAM	(	IFM_C	,
		3
	)

NONIUS_PARAM() [3/11]

NONIUS_PARAM	(	IFM_H	,
		244
	)

NONIUS_PARAM() [4/11]

NONIUS_PARAM	(	IFM_W	,
		244
	)

NONIUS_PARAM() [5/11]

NONIUS_PARAM	(	KER_H	,
		3
	)

NONIUS_PARAM() [6/11]

NONIUS_PARAM	(	KER_W	,
		3
	)

NONIUS_PARAM() [7/11]

NONIUS_PARAM	(	OFM_C	,
		3
	)

NONIUS_PARAM() [8/11]

NONIUS_PARAM	(	OFM_H	,
		244
	)

NONIUS_PARAM() [9/11]

NONIUS_PARAM	(	OFM_W	,
		244
	)

NONIUS_PARAM() [10/11]

NONIUS_PARAM	(	STRIDE_H	,
		1
	)

NONIUS_PARAM() [11/11]

NONIUS_PARAM	(	STRIDE_W	,
		1
	)

Variable Documentation

bias_tensor

Tensor bias_tensor {}

Definition at line 284 of file Convolution.cpp.

{};

Referenced by NONIUS_LOCAL_BENCHMARK(), NONIUS_LOCAL_BENCHMARK(), and NONIUS_LOCAL_BENCHMARK().

dst_tensor

Tensor dst_tensor {}

Definition at line 282 of file Convolution.cpp.

{};

Referenced by NONIUS_LOCAL_BENCHMARK(), NONIUS_LOCAL_BENCHMARK(), and NONIUS_LOCAL_BENCHMARK().

ker_tensor

Tensor ker_tensor {}

Definition at line 283 of file Convolution.cpp.

{};

Referenced by NONIUS_LOCAL_BENCHMARK(), NONIUS_LOCAL_BENCHMARK(), and NONIUS_LOCAL_BENCHMARK().

meter

nonius::chronometer meter

Initial value:

{
  NEDirectConvolutionLayer conv

Definition at line 275 of file Convolution.cpp.

Referenced by catch(), NONIUS_LOCAL_BENCHMARK(), NONIUS_LOCAL_BENCHMARK(), and NONIUS_LOCAL_BENCHMARK().

p

Configuration p {meter}

Definition at line 279 of file Convolution.cpp.

{meter};

Referenced by NONIUS_LOCAL_BENCHMARK(), NONIUS_LOCAL_BENCHMARK(), and NONIUS_LOCAL_BENCHMARK().

src_tensor

Tensor src_tensor {}

Definition at line 281 of file Convolution.cpp.

{};

Referenced by NONIUS_LOCAL_BENCHMARK(), NONIUS_LOCAL_BENCHMARK(), and NONIUS_LOCAL_BENCHMARK().

try

try

Initial value:

{
    check(conv.validate(src_tensor.info(), ker_tensor.info(), bias_tensor.info(), dst_tensor.info(),
                        p.pad_stride_info()))

Definition at line 291 of file Convolution.cpp.