Packages / openSUSE Leap 15.6 / Unspecified / benchdnn

Package: benchdnn (3.0.1-bp156.2.9)

Arquivos de cabeçalho da Intel Math Kernel Library

Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) é uma biblioteca de desempenho de código aberto para aplicações de deep learning. A biblioteca acelera aplicações e frameworks de deep learning na arquitetura Intel. Intel MKL-DNN contém blocos de construção vetorizados e com threads que você pode usar para implementar redes neurais profundas (DNN) com interfaces C e C++. Este pacote inclui apenas o utilitário de benchmark com seus arquivos de entrada.

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Download benchdnn

Architecture	Package size	Installed size	Files	Package
aarch64	915 KiB	7.4 MiB	list of files	Download
ppc64le	956 KiB	7.8 MiB	list of files	Download
x86_64	991 KiB	7.6 MiB	list of files	Download

Caminhos de arquivo do pacote (652)

Showing the first 250 sorted package-associated paths. Use file search to locate a specific path.

/usr/bin/benchdnn
/usr/share/benchdnn
/usr/share/benchdnn/inputs
/usr/share/benchdnn/inputs/binary
/usr/share/benchdnn/inputs/binary/harness_binary_bf16
/usr/share/benchdnn/inputs/binary/harness_binary_different_dt
/usr/share/benchdnn/inputs/binary/harness_binary_f16
/usr/share/benchdnn/inputs/binary/harness_binary_f32
/usr/share/benchdnn/inputs/binary/harness_binary_i8
/usr/share/benchdnn/inputs/binary/option_set_all
/usr/share/benchdnn/inputs/binary/option_set_fwks_ext_gpu
/usr/share/benchdnn/inputs/binary/option_set_fwks_key_gpu
/usr/share/benchdnn/inputs/binary/option_set_minimal
/usr/share/benchdnn/inputs/binary/option_set_src0_bcast
/usr/share/benchdnn/inputs/binary/perf_binary_gpu
/usr/share/benchdnn/inputs/binary/shapes_ci
/usr/share/benchdnn/inputs/binary/shapes_perf_1st_conv
/usr/share/benchdnn/inputs/binary/shapes_perf_scaleshift
/usr/share/benchdnn/inputs/binary/test_binary_all
/usr/share/benchdnn/inputs/binary/test_binary_bfloat16
/usr/share/benchdnn/inputs/binary/test_binary_ci
/usr/share/benchdnn/inputs/binary/test_binary_different_dt_ci
/usr/share/benchdnn/inputs/binary/test_binary_float16
/usr/share/benchdnn/inputs/binary/test_binary_gpu
/usr/share/benchdnn/inputs/bnorm
/usr/share/benchdnn/inputs/bnorm/option_set_fwks_ext_gpu
/usr/share/benchdnn/inputs/bnorm/option_set_fwks_key_gpu
/usr/share/benchdnn/inputs/bnorm/perf_bnorm_gpu
/usr/share/benchdnn/inputs/bnorm/set_nd
/usr/share/benchdnn/inputs/bnorm/set_topologies
/usr/share/benchdnn/inputs/bnorm/set_topologies_gpu
/usr/share/benchdnn/inputs/bnorm/shapes_1d
/usr/share/benchdnn/inputs/bnorm/shapes_2d
/usr/share/benchdnn/inputs/bnorm/shapes_3d
/usr/share/benchdnn/inputs/bnorm/shapes_ci
/usr/share/benchdnn/inputs/bnorm/shapes_densenet_121
/usr/share/benchdnn/inputs/bnorm/shapes_googlenet_v2
/usr/share/benchdnn/inputs/bnorm/shapes_googlenet_v3
/usr/share/benchdnn/inputs/bnorm/shapes_large
/usr/share/benchdnn/inputs/bnorm/shapes_regressions
/usr/share/benchdnn/inputs/bnorm/shapes_resnet_50
/usr/share/benchdnn/inputs/bnorm/shapes_topologies_small
/usr/share/benchdnn/inputs/bnorm/test_bnorm_all_blocked
/usr/share/benchdnn/inputs/bnorm/test_bnorm_all_plain
/usr/share/benchdnn/inputs/bnorm/test_bnorm_bfloat16_blocked
/usr/share/benchdnn/inputs/bnorm/test_bnorm_bfloat16_plain
/usr/share/benchdnn/inputs/bnorm/test_bnorm_ci
/usr/share/benchdnn/inputs/bnorm/test_bnorm_float16_plain
/usr/share/benchdnn/inputs/bnorm/test_bnorm_gpu
/usr/share/benchdnn/inputs/bnorm/test_bnorm_regressions
/usr/share/benchdnn/inputs/bnorm/test_bnorm_regressions_large
/usr/share/benchdnn/inputs/brgemm
/usr/share/benchdnn/inputs/brgemm/harness_brgemm_f32
/usr/share/benchdnn/inputs/brgemm/harness_brgemm_fpmath
/usr/share/benchdnn/inputs/brgemm/harness_brgemm_skip_acc
/usr/share/benchdnn/inputs/brgemm/option_set_bf16
/usr/share/benchdnn/inputs/brgemm/option_set_f32
/usr/share/benchdnn/inputs/brgemm/option_set_int8
/usr/share/benchdnn/inputs/brgemm/shapes_2d_big_k_bf16
/usr/share/benchdnn/inputs/brgemm/shapes_2d_big_k_f32
/usr/share/benchdnn/inputs/brgemm/shapes_2d_big_k_int8
/usr/share/benchdnn/inputs/brgemm/shapes_2d_big_k_tail_n_bf16
/usr/share/benchdnn/inputs/brgemm/shapes_2d_big_k_tail_n_f32
/usr/share/benchdnn/inputs/brgemm/shapes_2d_big_k_tail_n_int8
/usr/share/benchdnn/inputs/brgemm/shapes_2d_no_tail_bf16
/usr/share/benchdnn/inputs/brgemm/shapes_2d_no_tail_f32
/usr/share/benchdnn/inputs/brgemm/shapes_2d_no_tail_int8
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_k_bf16
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_k_f32
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_k_int8
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_k_tail_n_bf16
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_k_tail_n_f32
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_k_tail_n_int8
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_n_bf16
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_n_f32
/usr/share/benchdnn/inputs/brgemm/shapes_2d_tail_n_int8
/usr/share/benchdnn/inputs/brgemm/test_brgemm_all
/usr/share/benchdnn/inputs/brgemm/test_brgemm_bf16
/usr/share/benchdnn/inputs/brgemm/test_brgemm_ci
/usr/share/benchdnn/inputs/brgemm/test_brgemm_f16
/usr/share/benchdnn/inputs/brgemm/test_brgemm_int8
/usr/share/benchdnn/inputs/concat
/usr/share/benchdnn/inputs/concat/option_set_fwks_ext_gpu
/usr/share/benchdnn/inputs/concat/option_set_fwks_key_gpu
/usr/share/benchdnn/inputs/concat/option_set_gen9_gpu
/usr/share/benchdnn/inputs/concat/test_concat_all
/usr/share/benchdnn/inputs/concat/test_concat_bfloat16
/usr/share/benchdnn/inputs/concat/test_concat_ci
/usr/share/benchdnn/inputs/concat/test_concat_float16
/usr/share/benchdnn/inputs/concat/test_concat_gpu
/usr/share/benchdnn/inputs/conv
/usr/share/benchdnn/inputs/conv/harness_arbitrary_dst
/usr/share/benchdnn/inputs/conv/harness_conv_attrs_gpu
/usr/share/benchdnn/inputs/conv/harness_conv_attrs_int8
/usr/share/benchdnn/inputs/conv/harness_conv_attrs_int8_asymmetric
/usr/share/benchdnn/inputs/conv/harness_conv_auto
/usr/share/benchdnn/inputs/conv/harness_conv_deepbench
/usr/share/benchdnn/inputs/conv/harness_conv_depthwise_int8
/usr/share/benchdnn/inputs/conv/harness_conv_dilated_3d
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/usr/share/benchdnn/inputs/conv/harness_conv_dw_bfloat16_nxc
/usr/share/benchdnn/inputs/conv/harness_conv_dw_float16_nxc
/usr/share/benchdnn/inputs/conv/harness_conv_f32
/usr/share/benchdnn/inputs/conv/harness_conv_f32_nxc
/usr/share/benchdnn/inputs/conv/harness_conv_fused_depthwise
/usr/share/benchdnn/inputs/conv/harness_conv_int8
/usr/share/benchdnn/inputs/conv/harness_conv_regression_general
/usr/share/benchdnn/inputs/conv/harness_conv_saturation_int8
/usr/share/benchdnn/inputs/conv/harness_conv_tags
/usr/share/benchdnn/inputs/conv/option_set_all_eltwise_postops
/usr/share/benchdnn/inputs/conv/option_set_combined_postops
/usr/share/benchdnn/inputs/conv/option_set_fwks_ext_gpu
/usr/share/benchdnn/inputs/conv/option_set_fwks_key_gpu
/usr/share/benchdnn/inputs/conv/perf_conv_bdw_1sock
/usr/share/benchdnn/inputs/conv/perf_conv_clx_1sock
/usr/share/benchdnn/inputs/conv/perf_conv_gen9
/usr/share/benchdnn/inputs/conv/perf_conv_skx_1sock
/usr/share/benchdnn/inputs/conv/perf_conv_xe_hp
/usr/share/benchdnn/inputs/conv/perf_conv_xe_lp
/usr/share/benchdnn/inputs/conv/set_all_topologies
/usr/share/benchdnn/inputs/conv/set_conv_3d
/usr/share/benchdnn/inputs/conv/set_conv_all
/usr/share/benchdnn/inputs/conv/set_conv_dw
/usr/share/benchdnn/inputs/conv/set_dilated-conv
/usr/share/benchdnn/inputs/conv/set_dilated-conv_1st
/usr/share/benchdnn/inputs/conv/set_dilated-conv_3d
/usr/share/benchdnn/inputs/conv/set_fastrcnn
/usr/share/benchdnn/inputs/conv/set_gpu
/usr/share/benchdnn/inputs/conv/set_maskrcnn
/usr/share/benchdnn/inputs/conv/set_perf_cpu_all_mb
/usr/share/benchdnn/inputs/conv/set_perf_cpu_inference_only
/usr/share/benchdnn/inputs/conv/set_perf_cpu_large_mb
/usr/share/benchdnn/inputs/conv/set_perf_cpu_small_mb
/usr/share/benchdnn/inputs/conv/set_perf_gpu_all_mb
/usr/share/benchdnn/inputs/conv/set_perf_gpu_large_mb
/usr/share/benchdnn/inputs/conv/set_perf_gpu_small_mb
/usr/share/benchdnn/inputs/conv/set_topologies_inference_only
/usr/share/benchdnn/inputs/conv/shapes_1d
/usr/share/benchdnn/inputs/conv/shapes_1d_wavenet
/usr/share/benchdnn/inputs/conv/shapes_1x1
/usr/share/benchdnn/inputs/conv/shapes_3d
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/usr/share/benchdnn/inputs/conv/shapes_3d_1x1_strided_no-padding
/usr/share/benchdnn/inputs/conv/shapes_3d_1x1_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_3d_1x1_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_3d_1x1_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_3d_2d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_3d_gpu
/usr/share/benchdnn/inputs/conv/shapes_3d_i3d
/usr/share/benchdnn/inputs/conv/shapes_3d_resnext101
/usr/share/benchdnn/inputs/conv/shapes_3d_strided_no-padding
/usr/share/benchdnn/inputs/conv/shapes_3d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_3d_unet
/usr/share/benchdnn/inputs/conv/shapes_3d_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_3d_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_a3c
/usr/share/benchdnn/inputs/conv/shapes_alexnet
/usr/share/benchdnn/inputs/conv/shapes_auto
/usr/share/benchdnn/inputs/conv/shapes_basic
/usr/share/benchdnn/inputs/conv/shapes_basic_gpu
/usr/share/benchdnn/inputs/conv/shapes_cosmictagger
/usr/share/benchdnn/inputs/conv/shapes_deepbench_inference_device
/usr/share/benchdnn/inputs/conv/shapes_deepbench_inference_server
/usr/share/benchdnn/inputs/conv/shapes_deepbench_training
/usr/share/benchdnn/inputs/conv/shapes_densnet
/usr/share/benchdnn/inputs/conv/shapes_dilated
/usr/share/benchdnn/inputs/conv/shapes_dilated_1d_1st_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_1d_strided_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_1d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_1d_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_1d_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_2d_1st_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_2d_strided_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_2d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_2d_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_2d_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_3d_strided_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_3d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_3d_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_3d_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_dilated_rfcn
/usr/share/benchdnn/inputs/conv/shapes_dw_1d_stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dw_1d_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dw_1d_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_dw_2d_1d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dw_2d_strided_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dw_2d_strided_padding
/usr/share/benchdnn/inputs/conv/shapes_dw_2d_unit-stride_no-padding
/usr/share/benchdnn/inputs/conv/shapes_dw_2d_unit-stride_padding
/usr/share/benchdnn/inputs/conv/shapes_dw_minibatch_2d-spatial
/usr/share/benchdnn/inputs/conv/shapes_dw_minibatch_channel_2d-spatial
/usr/share/benchdnn/inputs/conv/shapes_efficientdet
/usr/share/benchdnn/inputs/conv/shapes_fastrcnn_p1
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/usr/share/benchdnn/inputs/conv/shapes_fused_large_src
/usr/share/benchdnn/inputs/conv/shapes_fused_mobilenet_stride_1
/usr/share/benchdnn/inputs/conv/shapes_fused_mobilenet_stride_2
/usr/share/benchdnn/inputs/conv/shapes_gemm
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/usr/share/benchdnn/inputs/conv/shapes_googlenet_v2
/usr/share/benchdnn/inputs/conv/shapes_googlenet_v3
/usr/share/benchdnn/inputs/conv/shapes_large_padding
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/usr/share/benchdnn/inputs/conv/shapes_maskrcnn_p2
/usr/share/benchdnn/inputs/conv/shapes_mobilenet
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/usr/share/benchdnn/inputs/conv/shapes_pointnet
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/usr/share/benchdnn/inputs/conv/shapes_regression_dw
/usr/share/benchdnn/inputs/conv/shapes_regression_gemm
/usr/share/benchdnn/inputs/conv/shapes_regression_padding
/usr/share/benchdnn/inputs/conv/shapes_regression_small_spatial
/usr/share/benchdnn/inputs/conv/shapes_resnet_50
/usr/share/benchdnn/inputs/conv/shapes_resnet_50_sparse
/usr/share/benchdnn/inputs/conv/shapes_resnet_50_v1_5
/usr/share/benchdnn/inputs/conv/shapes_resnext_101
/usr/share/benchdnn/inputs/conv/shapes_segnet
/usr/share/benchdnn/inputs/conv/shapes_src-transpose_padding
/usr/share/benchdnn/inputs/conv/shapes_ssd_300_voc0712
/usr/share/benchdnn/inputs/conv/shapes_ssd_mobilenet
/usr/share/benchdnn/inputs/conv/shapes_ssd_resnet34_inference
/usr/share/benchdnn/inputs/conv/shapes_ssd_resnet34_training
/usr/share/benchdnn/inputs/conv/shapes_tails
/usr/share/benchdnn/inputs/conv/shapes_tails_gpu
/usr/share/benchdnn/inputs/conv/shapes_unet
/usr/share/benchdnn/inputs/conv/shapes_vgg_11
/usr/share/benchdnn/inputs/conv/shapes_vgg_19
/usr/share/benchdnn/inputs/conv/shapes_xception
/usr/share/benchdnn/inputs/conv/shapes_yolov2
/usr/share/benchdnn/inputs/conv/test_conv_3d
/usr/share/benchdnn/inputs/conv/test_conv_3d_f32_nxc
/usr/share/benchdnn/inputs/conv/test_conv_all
/usr/share/benchdnn/inputs/conv/test_conv_all_topologies
/usr/share/benchdnn/inputs/conv/test_conv_all_topologies_f32_nxc
/usr/share/benchdnn/inputs/conv/test_conv_attrs
/usr/share/benchdnn/inputs/conv/test_conv_attrs_f32_nxc
/usr/share/benchdnn/inputs/conv/test_conv_bfloat16
/usr/share/benchdnn/inputs/conv/test_conv_bfloat16_nxc
/usr/share/benchdnn/inputs/conv/test_conv_bfloat16_ymm
/usr/share/benchdnn/inputs/conv/test_conv_ci
/usr/share/benchdnn/inputs/conv/test_conv_depthwise
/usr/share/benchdnn/inputs/conv/test_conv_dilated
/usr/share/benchdnn/inputs/conv/test_conv_dilated_f32_nxc
/usr/share/benchdnn/inputs/conv/test_conv_dt
/usr/share/benchdnn/inputs/conv/test_conv_dt_nxc
/usr/share/benchdnn/inputs/conv/test_conv_float16_nxc
/usr/share/benchdnn/inputs/conv/test_conv_function

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3.0.1-bp156.2.9	leap-15.6 / oss	aarch64	openSUSE Leap 15.6 · OSS · multi-architecture	915 KiB	7.4 MiB	aarch64/benchdnn-3.0.1-bp156.2.9.aarch64.rpm
3.0.1-bp156.2.9	leap-15.6 / oss	ppc64le	openSUSE Leap 15.6 · OSS · multi-architecture	956 KiB	7.8 MiB	ppc64le/benchdnn-3.0.1-bp156.2.9.ppc64le.rpm
3.0.1-bp156.2.9	leap-15.6 / oss	x86_64	openSUSE Leap 15.6 · OSS · multi-architecture	991 KiB	7.6 MiB	x86_64/benchdnn-3.0.1-bp156.2.9.x86_64.rpm

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Última sincronização: Oct 29, 2026, 6:51:46 AM UTC

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3.0.1-bp156.2.9 / aarch64Observado Sep 1, 2026sha512 3c63ecc7d092…69124e7fResumo da fonte

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3.0.1-bp156.2.9 / ppc64leObservado Sep 1, 2026sha512 0c2afa4772fb…98ccfe78Resumo da fonte

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Authoritative source; repository metadata signature verified
Evidência de assinatura
leap-15-6-oss-multiarch:ca2653101b9afba6656aea529109ba0c0f1ca1a92aa8614e7c887fda5264c230
Repository-signature verification record
Signed object
https://download.opensuse.org/distribution/leap/15.6/repo/oss/repodata/repomd.xml
Signed-object SHA-256
ca2653101b9afba6656aea529109ba0c0f1ca1a92aa8614e7c887fda5264c230
Signer fingerprint
AD485664E901B867051AB15F35A2F86E29B700A4
Keyring revision
opensuse-project-signing-key.asc
SHA-256 b5745739ebfb95b25b8e810f9bcb847fe750ccda598bd85f02f0e974599a6d7e
Tool and policy
gpgv (GnuPG) 2.4.9
openfactory-software-catalog-signature-v1
Verification time
Sep 1, 2026
Repository metadata hash linkage
Result
Recorded as verified; digest details unavailable