[
    {
        "arch": "gfx906",
        "config": {
            "activMode": -1,
            "batchsize": 32,
            "cmd": "conv",
            "conv_mode": "conv",
            "conv_stride_d": 1,
            "conv_stride_h": 1,
            "conv_stride_w": 1,
            "dilation_d": 1,
            "dilation_h": 1,
            "dilation_w": 1,
            "fil_d": 1,
            "fil_h": 3,
            "fil_w": 3,
            "fusion_mode": -1,
            "group_count": 1,
            "in_channels": 128,
            "in_d": 1,
            "in_h": 28,
            "in_w": 28,
            "out_channels": 128,
            "pad_d": 0,
            "pad_h": 1,
            "pad_mode": "default",
            "pad_w": 1,
            "recur": 0,
            "sources": [
                "issue_1760"
            ],
            "spatial_dim": 2,
            "tags": [
                "resnet50"
            ],
            "trans_output_pad_d": 0
        },
        "config_tuna_id": null,
        "direction": 2,
        "label": "resnet_tuning",
        "num_cu": 60,
        "steps": [
            "alloc_buf",
            "miopen_find_eval"
        ],
        "is_winograd_only": true,
        "miopen_find_compile_result": [
            {
                "algorithm": "miopenConvolutionBwdDataAlgoImplicitGEMM",
                "find_compiled": true,
                "kernel_objects": [
                    {
                        "blob": 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",
                        "comp_options": " -Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "igemm_bwd_gtc_dynamic.s",
                        "md5_sum": "435631ac18265cc9e5fff5e4f1a11d8d",
                        "uncompressed_size": 121592
                    }
                ],
                "solver_id": "ConvAsmImplicitGemmV4R1DynamicBwd",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoImplicitGEMM",
                "find_compiled": true,
                "kernel_objects": [
                    {
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                        "comp_options": " -DCK_PARAM_PROBLEM_N=32 -DCK_PARAM_PROBLEM_K=128 -DCK_PARAM_PROBLEM_C=128 -DCK_PARAM_PROBLEM_HI=28 -DCK_PARAM_PROBLEM_WI=28 -DCK_PARAM_PROBLEM_HO=28 -DCK_PARAM_PROBLEM_WO=28 -DCK_PARAM_PROBLEM_Y=3 -DCK_PARAM_PROBLEM_X=3 -DCK_PARAM_PROBLEM_CONV_STRIDE_H=1 -DCK_PARAM_PROBLEM_CONV_STRIDE_W=1 -DCK_PARAM_PROBLEM_CONV_DILATION_H=1 -DCK_PARAM_PROBLEM_CONV_DILATION_W=1 -DCK_PARAM_PROBLEM_IN_LEFT_PAD_H=1 -DCK_PARAM_PROBLEM_IN_LEFT_PAD_W=1 -DCK_PARAM_PROBLEM_IN_RIGHT_PAD_H=1 -DCK_PARAM_PROBLEM_IN_RIGHT_PAD_W=1 -DCK_PARAM_TUNABLE_BLOCK_SIZE=256 -DCK_PARAM_TUNABLE_GEMM_M_PER_BLOCK=128 -DCK_PARAM_TUNABLE_GEMM_N_PER_BLOCK=128 -DCK_PARAM_TUNABLE_GEMM_K_PER_BLOCK=16 -DCK_PARAM_TUNABLE_GEMM_M_PER_THREAD=4 -DCK_PARAM_TUNABLE_GEMM_N_PER_THREAD=4 -DCK_PARAM_TUNABLE_GEMM_M_LEVEL0_CLUSTER=4 -DCK_PARAM_TUNABLE_GEMM_N_LEVEL0_CLUSTER=4 -DCK_PARAM_TUNABLE_GEMM_M_LEVEL1_CLUSTER=4 -DCK_PARAM_TUNABLE_GEMM_N_LEVEL1_CLUSTER=4 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_K=8 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_M=32 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_SRC_DATA_PER_READ_GEMM_M=4 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_K=8 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_N=32 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_SRC_DATA_PER_READ_GEMM_N=4 -DCK_PARAM_TUNABLE_GEMM_C_THREAD_COPY_DST_DATA_PER_WRITE_GEMM_N1=1 -DCK_PARAM_DEPENDENT_GRID_SIZE=1764 -DCK_THREADWISE_GEMM_USE_AMD_INLINE_ASM=1 -DCK_USE_AMD_INLINE_ASM=1 --std=c++14 -DCK_USE_AMD_BUFFER_ATOMIC_FADD=0 -DCK_BLOCK_SYNC_LDS_WITHOUT_SYNC_VMEM=1 -DCK_WORKAROUND_SWDEV_229564=1 -DCK_WORKAROUND_SWDEV_231101=1 -DCK_USE_AMD_BUFFER_ADDRESSING=1 -DCK_USE_AMD_V_FMAC_F32=0 -DMIOPEN_USE_FP16=0 -DMIOPEN_USE_FP32=1 -DMIOPEN_USE_INT8=0 -DMIOPEN_USE_INT8x4=0 -DMIOPEN_USE_BFP16=0 -DMIOPEN_USE_INT32=0 -DMIOPEN_USE_RNE_BFLOAT16=1 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_DST_DATA_PER_WRITE_GEMM_M=4 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_DST_DATA_PER_WRITE_GEMM_N=4",
                        "kernel_file": "gridwise_convolution_backward_data_implicit_gemm_v1r1_nchw_kcyx_nkhw.cpp",
                        "md5_sum": "9a4fbc5701f57a07786e518382a0095e",
                        "uncompressed_size": 116037
                    }
                ],
                "solver_id": "ConvHipImplicitGemmBwdDataV1R1",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
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",
                        "comp_options": "-Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "conv_3x3_wheel_alpha_v9_0_15.s",
                        "md5_sum": "bd06f87516cb9f636e42e6e6d3e12949",
                        "uncompressed_size": 22152
                    }
                ],
                "solver_id": "ConvBinWinogradRxS",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
                    {
                        "blob": 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                        "comp_options": "-Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "conv_3x3_wheel_alpha_v7_0_3b.s",
                        "md5_sum": "d601a6ebb7cd40cfc15c53e6b389fb4b",
                        "uncompressed_size": 18056
                    }
                ],
                "solver_id": "ConvBinWinograd3x3U",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
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                        "comp_options": " -DMLO_HW_WAVE_SZ=64 -DMLO_DIR_FORWARD=0 -DMLO_FILTER_SIZE0=3 -DMLO_FILTER_SIZE1=3 -DMLO_FILTER_PAD0=1 -DMLO_FILTER_PAD1=1 -DMLO_FILTER_STRIDE0=1 -DMLO_FILTER_STRIDE1=1 -DMLO_N_OUTPUTS=128 -DMLO_N_INPUTS=128 -DMLO_BATCH_SZ=32 -DMLO_OUT_WIDTH=28 -DMLO_OUT_HEIGHT=28 -DMLO_OUT_BATCH_STRIDE=100352 -DMLO_OUT_CHANNEL_STRIDE=784 -DMLO_OUT_STRIDE=28 -DMLO_IN_WIDTH=28 -DMLO_IN_HEIGHT=28 -DMLO_IN_BATCH_STRIDE=100352 -DMLO_IN_CHANNEL_STRIDE=784 -DMLO_IN_STRIDE=28 -DMLO_IN_TILE0=32 -DMLO_IN_TILE1=32 -DMLO_GRP_TILE0=16 -DMLO_GRP_TILE1=16 -DMLO_OUT_TILE0=2 -DMLO_OUT_TILE1=2 -DMLO_N_STACKS=1 -DMLO_N_OUT_TILES=8 -DMLO_N_OUT_TILES_PERSTACK=8 -DMLO_N_IN_TILES_PERSTACK=2 -DMLO_N_READ_PROCS=256 -DMLO_ALU_VTILE0=16 -DMLO_ALU_VTILE1=16 -DMIOPEN_USE_FP16=0 -DMIOPEN_USE_FP32=1 -DMIOPEN_USE_INT8=0 -DMIOPEN_USE_INT8x4=0 -DMIOPEN_USE_BFP16=0 -DMIOPEN_USE_INT32=0 -DMIOPEN_USE_RNE_BFLOAT16=1",
                        "kernel_file": "MIOpenConvDirUni.cl",
                        "md5_sum": "e230d69f340e02b1458713ef16c35e87",
                        "uncompressed_size": 14880
                    }
                ],
                "solver_id": "ConvOclDirectFwdFused",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
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                        "comp_options": " -DMLO_HW_WAVE_SZ=64 -DMLO_DIR_FORWARD=0 -DMLO_FILTER_SIZE0=3 -DMLO_FILTER_SIZE1=3 -DMLO_FILTER_PAD0=1 -DMLO_FILTER_PAD1=1 -DMLO_FILTER_STRIDE0=1 -DMLO_FILTER_STRIDE1=1 -DMLO_N_OUTPUTS=128 -DMLO_N_INPUTS=128 -DMLO_BATCH_SZ=32 -DMLO_OUT_WIDTH=28 -DMLO_OUT_HEIGHT=28 -DMLO_OUT_BATCH_STRIDE=100352 -DMLO_OUT_CHANNEL_STRIDE=784 -DMLO_OUT_STRIDE=28 -DMLO_IN_WIDTH=28 -DMLO_IN_HEIGHT=28 -DMLO_IN_BATCH_STRIDE=100352 -DMLO_IN_CHANNEL_STRIDE=784 -DMLO_IN_STRIDE=28 -DMLO_IN_TILE0=32 -DMLO_IN_TILE1=32 -DMLO_GRP_TILE0=16 -DMLO_GRP_TILE1=16 -DMLO_OUT_TILE0=2 -DMLO_OUT_TILE1=2 -DMLO_N_STACKS=1 -DMLO_N_OUT_TILES=8 -DMLO_N_OUT_TILES_PERSTACK=8 -DMLO_N_IN_TILES_PERSTACK=2 -DMLO_N_READ_PROCS=256 -DMLO_ALU_VTILE0=16 -DMLO_ALU_VTILE1=16 -DMIOPEN_USE_FP16=0 -DMIOPEN_USE_FP32=1 -DMIOPEN_USE_INT8=0 -DMIOPEN_USE_INT8x4=0 -DMIOPEN_USE_BFP16=0 -DMIOPEN_USE_INT32=0 -DMIOPEN_USE_RNE_BFLOAT16=1 -DMLO_CONV_BIAS=0",
                        "kernel_file": "MIOpenConvDirUni.cl",
                        "md5_sum": "e230d69f340e02b1458713ef16c35e87",
                        "uncompressed_size": 14880
                    }
                ],
                "solver_id": "ConvOclDirectFwd",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
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",
                        "comp_options": " -Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "naive_conv_gcn.s",
                        "md5_sum": "1aa674543ec83d8948e9344d4ea55ec0",
                        "uncompressed_size": 101544
                    }
                ],
                "solver_id": "ConvDirectNaiveConvBwd",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
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                        "comp_options": "-Wa,-defsym,batch_size=32 -Wa,-defsym,img_width=28 -Wa,-defsym,img_height=28 -Wa,-defsym,input_channels=128 -Wa,-defsym,output_channels=128 -Wa,-defsym,weights_layout=1 -Wa,-defsym,reverse_weights=1 -Wa,-defsym,no_params_file=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,limit_wave_cnt=0 -Wa,-defsym,filters_per_wave=2 -Wa,-defsym,output_lines_per_wave=2 -Wa,-defsym,enable_debug_output=0 -Wa,-defsym,group_counts=1 -Wa,-defsym,k_group_size_is_power_of_two=1 -Wa,-defsym,workgroup_size_x=28",
                        "kernel_file": "conv3x3.s",
                        "md5_sum": "53a7759bb3bca709184ccf7101e43eb9",
                        "uncompressed_size": 18904
                    }
                ],
                "solver_id": "ConvAsm3x3U",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
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",
                        "comp_options": "-Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "Conv_Winograd_v21_1_2_fp32_stride1.s",
                        "md5_sum": "7697bc04429f1593d7f25355f14bd417",
                        "uncompressed_size": 26328
                    }
                ],
                "solver_id": "ConvBinWinogradRxSf2x3g1",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdDataAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
                    {
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",
                        "comp_options": "-Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "Conv_Winograd_v16_5_0_stride1.s",
                        "md5_sum": "ccba69443147c3765ac0fb2b1a234fe2",
                        "uncompressed_size": 22160
                    }
                ],
                "solver_id": "ConvBinWinogradRxSf3x2",
                "workspace": 0
            }
        ],
        "network_config": "128x28x28x3x3x128x28x28x32xNCHWxFP32x1x1x1x1x1x1x1xB"
    },
    {
        "arch": "gfx906",
        "config": {
            "activMode": -1,
            "batchsize": 32,
            "cmd": "conv",
            "conv_mode": "conv",
            "conv_stride_d": 1,
            "conv_stride_h": 1,
            "conv_stride_w": 1,
            "dilation_d": 1,
            "dilation_h": 1,
            "dilation_w": 1,
            "fil_d": 1,
            "fil_h": 3,
            "fil_w": 3,
            "fusion_mode": -1,
            "group_count": 1,
            "in_channels": 128,
            "in_d": 1,
            "in_h": 28,
            "in_w": 28,
            "out_channels": 128,
            "pad_d": 0,
            "pad_h": 1,
            "pad_mode": "default",
            "pad_w": 1,
            "recur": 0,
            "sources": [
                "issue_1760"
            ],
            "spatial_dim": 2,
            "tags": [
                "resnet50"
            ],
            "trans_output_pad_d": 0
        },
        "config_tuna_id": null,
        "direction": 4,
        "label": "resnet_tuning",
        "num_cu": 60,
        "steps": [
            "alloc_buf",
            "miopen_find_eval"
        ],
        "tag": "resnet50",
        "miopen_find_compile_result": [
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoImplicitGEMM",
                "find_compiled": true,
                "kernel_objects": [
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",
                        "comp_options": " -Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "igemm_v4r1_wrw_dynamic.s",
                        "md5_sum": "3eaa2dff0739601d93b4ca6086c9e761",
                        "uncompressed_size": 51568
                    },
                    {
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                        "comp_options": "-Wno-old-style-cast -Wno-cast-align",
                        "kernel_file": "wrw_reduction_hip.cpp",
                        "md5_sum": "b0c41fff25be9d3cdd34b2451a59e93c",
                        "uncompressed_size": 10045
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                ],
                "solver_id": "ConvAsmImplicitGemmV4R1DynamicWrw",
                "workspace": 18874368
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoImplicitGEMM",
                "find_compiled": true,
                "kernel_objects": [
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                        "comp_options": " -DCK_PARAM_PROBLEM_N=32 -DCK_PARAM_PROBLEM_C=128 -DCK_PARAM_PROBLEM_K=128 -DCK_PARAM_PROBLEM_HO=28 -DCK_PARAM_PROBLEM_WO=28 -DCK_PARAM_PROBLEM_HI=28 -DCK_PARAM_PROBLEM_WI=28 -DCK_PARAM_PROBLEM_Y=3 -DCK_PARAM_PROBLEM_X=3 -DCK_PARAM_PROBLEM_CONV_STRIDE_H=1 -DCK_PARAM_PROBLEM_CONV_STRIDE_W=1 -DCK_PARAM_PROBLEM_CONV_DILATION_H=1 -DCK_PARAM_PROBLEM_CONV_DILATION_W=1 -DCK_PARAM_PROBLEM_IN_LEFT_PAD_H=1 -DCK_PARAM_PROBLEM_IN_LEFT_PAD_W=1 -DCK_PARAM_PROBLEM_IN_RIGHT_PAD_H=1 -DCK_PARAM_PROBLEM_IN_RIGHT_PAD_W=1 -DCK_PARAM_PROBLEM_CONV_DIRECTION_FORWARD=0 -DCK_PARAM_PROBLEM_CONV_DIRECTION_BACKWARD_DATA=0 -DCK_PARAM_PROBLEM_CONV_DIRECTION_BACKWARD_WEIGHT=1 -DCK_PARAM_TUNABLE_BLOCK_SIZE=64 -DCK_PARAM_TUNABLE_GEMM_M_PER_BLOCK=32 -DCK_PARAM_TUNABLE_GEMM_N_PER_BLOCK=32 -DCK_PARAM_TUNABLE_GEMM_K_PER_BLOCK=16 -DCK_PARAM_TUNABLE_GEMM_M_PER_THREAD=2 -DCK_PARAM_TUNABLE_GEMM_N_PER_THREAD=2 -DCK_PARAM_TUNABLE_GEMM_M_LEVEL0_CLUSTER=4 -DCK_PARAM_TUNABLE_GEMM_N_LEVEL0_CLUSTER=4 -DCK_PARAM_TUNABLE_GEMM_M_LEVEL1_CLUSTER=2 -DCK_PARAM_TUNABLE_GEMM_N_LEVEL1_CLUSTER=2 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_K=16 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_M=4 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_SRC_DATA_PER_READ_GEMM_K=1 -DCK_PARAM_TUNABLE_GEMM_A_BLOCK_COPY_DST_DATA_PER_WRITE_GEMM_M=4 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_K=16 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_CLUSTER_LENGTHS_GEMM_N=4 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_SRC_DATA_PER_READ_GEMM_K=1 -DCK_PARAM_TUNABLE_GEMM_B_BLOCK_COPY_DST_DATA_PER_WRITE_GEMM_N=4 -DCK_PARAM_TUNABLE_GEMM_C_THREAD_COPY_DST_DATA_PER_WRITE_GEMM_N1=2 -DCK_PARAM_DEPENDENT_GRID_SIZE=144 -DCK_THREADWISE_GEMM_USE_AMD_INLINE_ASM=1 -DCK_USE_AMD_INLINE_ASM=1 --std=c++14 -DCK_USE_AMD_BUFFER_ATOMIC_FADD=0 -DCK_BLOCK_SYNC_LDS_WITHOUT_SYNC_VMEM=1 -DCK_WORKAROUND_SWDEV_229564=1 -DCK_WORKAROUND_SWDEV_231101=1 -DCK_USE_AMD_BUFFER_ADDRESSING=1 -DCK_USE_AMD_V_FMAC_F32=0 -DMIOPEN_USE_FP16=0 -DMIOPEN_USE_FP32=1 -DMIOPEN_USE_INT8=0 -DMIOPEN_USE_INT8x4=0 -DMIOPEN_USE_BFP16=0 -DMIOPEN_USE_INT32=0 -DMIOPEN_USE_RNE_BFLOAT16=1",
                        "kernel_file": "gridwise_convolution_backward_weights_implicit_gemm_v4r4_nchw_kcyx_nkhw.cpp",
                        "md5_sum": "15ee57ac59868a69ce1d02aabc73aab2",
                        "uncompressed_size": 20429
                    }
                ],
                "solver_id": "ConvHipImplicitGemmV4R4WrW",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
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",
                        "comp_options": " -Wa,-defsym,elements_in_dword=1 -Wa,-defsym,batch_size=32 -Wa,-defsym,img_h=28 -Wa,-defsym,img_w=28 -Wa,-defsym,input_channels=128 -Wa,-defsym,output_channels=128 -Wa,-defsym,wei_h=3 -Wa,-defsym,wei_w=3 -Wa,-defsym,pad_h=1 -Wa,-defsym,pad_w=1 -Wa,-defsym,stride_h=1 -Wa,-defsym,stride_w=1 -Wa,-defsym,weights_layout=0 -Wa,-defsym,reverse_weights=0 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,limit_wave_cnt=0 -Wa,-defsym,chunk_size=8 -Wa,-defsym,c_per_wave=8 -Wa,-defsym,k_per_wave=2 -Wa,-defsym,n_per_group=4 -Wa,-defsym,pipe_lines_depth=5 -Wa,-defsym,reverse_inout=1 -Wa,-defsym,enable_debug_output=0 -Wa,-defsym,group_counts=1 -Wa,-defsym,k_group_size_is_power_of_two=1",
                        "kernel_file": "conv3x3wrw.s",
                        "md5_sum": "fdcb203611dc719dbadf090a927770af",
                        "uncompressed_size": 32432
                    }
                ],
                "solver_id": "ConvAsmBwdWrW3x3",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
                    {
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",
                        "comp_options": "-Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "Conv_Winograd_v16_5_0_stride1.s",
                        "md5_sum": "ccba69443147c3765ac0fb2b1a234fe2",
                        "uncompressed_size": 22160
                    }
                ],
                "solver_id": "ConvBinWinogradRxS",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
                    {
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",
                        "comp_options": " -Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "naive_conv_gcn.s",
                        "md5_sum": "1aa674543ec83d8948e9344d4ea55ec0",
                        "uncompressed_size": 101544
                    }
                ],
                "solver_id": "ConvDirectNaiveConvWrw",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
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                        "kernel_file": "xform_data.s",
                        "md5_sum": "6eb8ee440b2145f942cdf2a28cff83ca",
                        "uncompressed_size": 23024
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                        "comp_options": " -Wa,-defsym,acc_type=1 -Wa,-defsym,buf_type=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,MIOPEN_USE_RNE_BFLOAT16=1 -Wa,-defsym,xformx_o_size=3 -Wa,-defsym,xformy_o_size=3 -Wa,-defsym,xformx_d_size=8 -Wa,-defsym,xformy_d_size=8 -Wa,-defsym,xformx_f_size=6 -Wa,-defsym,xformy_f_size=6 -Wa,-defsym,fdilation_w=1 -Wa,-defsym,fdilation_h=1",
                        "kernel_file": "xform_out.s",
                        "md5_sum": "cdca91ad242281113c024ba21b23b50b",
                        "uncompressed_size": 17080
                    }
                ],
                "solver_id": "ConvWinograd3x3MultipassWrW<3-6>",
                "workspace": 56623104
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
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                        "md5_sum": "73ba82c482867073746fe44807201d0a",
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                        "comp_options": " -Wa,-defsym,acc_type=1 -Wa,-defsym,buf_type=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,MIOPEN_USE_RNE_BFLOAT16=1 -Wa,-defsym,xformx_o_size=3 -Wa,-defsym,xformy_o_size=3 -Wa,-defsym,xformx_d_size=7 -Wa,-defsym,xformy_d_size=7 -Wa,-defsym,xformx_f_size=5 -Wa,-defsym,xformy_f_size=5 -Wa,-defsym,fdilation_w=1 -Wa,-defsym,fdilation_h=1",
                        "kernel_file": "xform_filter.s",
                        "md5_sum": "b9390b91d9434d8315ded4685b2d4b7d",
                        "uncompressed_size": 23000
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                        "comp_options": " -Wa,-defsym,acc_type=1 -Wa,-defsym,buf_type=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,MIOPEN_USE_RNE_BFLOAT16=1 -Wa,-defsym,xformx_o_size=3 -Wa,-defsym,xformy_o_size=3 -Wa,-defsym,xformx_d_size=7 -Wa,-defsym,xformy_d_size=7 -Wa,-defsym,xformx_f_size=5 -Wa,-defsym,xformy_f_size=5 -Wa,-defsym,fdilation_w=1 -Wa,-defsym,fdilation_h=1",
                        "kernel_file": "xform_out.s",
                        "md5_sum": "58a912256a964d23e723bf7fe4a2d441",
                        "uncompressed_size": 17080
                    }
                ],
                "solver_id": "ConvWinograd3x3MultipassWrW<3-5>",
                "workspace": 61014016
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
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",
                        "comp_options": "-Wa,-defsym,ROCM_METADATA_VERSION=5",
                        "kernel_file": "Conv_Winograd_v21_1_2_fp32_stride1_group.s",
                        "md5_sum": "7eb2d57aaa5dba1a6ccb535f08fbbec5",
                        "uncompressed_size": 26336
                    }
                ],
                "solver_id": "ConvBinWinogradRxSf2x3g1",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoDirect",
                "find_compiled": true,
                "kernel_objects": [
                    {
                        "blob": 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                        "comp_options": " -DMLO_DIR_FORWARD=0 -DMLO_GRP_SZ=256 -DMLO_GRP_SZ0=256 -DMLO_GRP_SZ1=1 -DMLO_GRP_SZ2=1 -DMLO_FILTER_SIZE0=3 -DMLO_FILTER_SIZE1=3 -DMLO_FILTER_PAD0=1 -DMLO_FILTER_PAD1=1 -DMLO_FILTER_STRIDE0=1 -DMLO_FILTER_STRIDE1=1 -DSTRIDE_W=1 -DSTRIDE_H=1 -DMLO_N_OUTPUTS=128 -DMLO_N_INPUTS=128 -DMLO_GROUP_COUNTS=1 -DMLO_N_INPUTS_PER_GROUP=128 -DMLO_N_OUTPUTS_PER_GROUP=128 -DMLO_BATCH_SZ=32 -DMLO_N_BATCH_LOOPS=32 -DMLO_OUT_BATCH_STRIDE=100352 -DMLO_OUT_CHANNEL_STRIDE=784 -DMLO_OUT_STRIDE=28 -DMLO_IN_BATCH_STRIDE=100352 -DMLO_IN_CHANNEL_STRIDE=784 -DMLO_IN_STRIDE=28 -DMLO_WEI_BATCH_STRIDE=1152 -DMLO_WEI_CHANNEL_STRIDE=9 -DMLO_IN_WIDTH=28 -DMLO_IN_HEIGHT=28 -DMLO_OUT_WIDTH=28 -DMLO_OUT_HEIGHT=28 -DMLO_IN_TILE1=1 -DMLO_IN_TILE0=4 -DMLO_N_LCL_BATCHS=1 -DMLO_N_LCL_OUT_MAPS=1 -DMLO_N_LCL_IN_MAPS=4 -DMLO_OUT_TILE0=3 -DMLO_OUT_TILE1=3 -DMLO_OUT_STACKS=36 -DMLO_N_WAVES=4 -DMLO_READ_TYPE=_FLOAT4 -DMLO_READ_UNIT=4 -DMLO_HW_WAVE_SZ=64 -DMLO_LG2_PHYS_WAVE_SZ=6 -DMLO_IN_EXTENT1=28 -DMLO_IN_N_VERT_LOOPS=1 -DMLO_IN_WIDTH_CHUNK=28 -DMLO_IN_WIDTH_N_LOOPS=1 -DMLO_IN_WIDTH_LAST_CHUNK_VALID_READ_UNITS=0 -DMLO_IN_WIDTH_LAST_CHUNK_VALID_PIXELS_IN_LAST_READ_UNIT=4 -DMLO_OUT_WIDTH_CHUNK=28 -DMLO_OUT_WIDTH_N_LOOPS=1 -DMLO_OUT_WIDTH_LAST_CHUNK_VALID_SPANS=0 -DMLO_OUT_WIDTH_LAST_CHUNK_VALID_PIXELS_IN_LAST_SPAN=4 -DMLO_CONV_BIAS=0 -DMLO_UT_READ_TYPE=_FLOAT -DMLO_UT_READ_UNIT=1 -DMLO_UT_GRP_SZ0=256 -DMIOPEN_USE_FP16=0 -DMIOPEN_USE_FP32=1 -DMIOPEN_USE_INT8=0 -DMIOPEN_USE_INT8x4=0 -DMIOPEN_USE_BFP16=0 -DMIOPEN_USE_INT32=0 -DMIOPEN_USE_RNE_BFLOAT16=1",
                        "kernel_file": "MIOpenConvBwdWrW_LxG_P53.cl",
                        "md5_sum": "cbc81a90319176cef8faba59f1630fbc",
                        "uncompressed_size": 14368
                    }
                ],
                "solver_id": "ConvOclBwdWrW53",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoImplicitGEMM",
                "find_compiled": true,
                "kernel_objects": [
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                        "kernel_file": "gridwise_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_lds_double_buffer.cpp",
                        "md5_sum": "dee44a9f2516fc76f27fcff6e57f5233",
                        "uncompressed_size": 20301
                    }
                ],
                "solver_id": "ConvHipImplicitGemmV4R1WrW",
                "workspace": 0
            },
            {
                "algorithm": "miopenConvolutionBwdWeightsAlgoWinograd",
                "find_compiled": true,
                "kernel_objects": [
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                        "comp_options": " -Wa,-defsym,acc_type=1 -Wa,-defsym,buf_type=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,xformx_o_size=3 -Wa,-defsym,xformy_o_size=3 -Wa,-defsym,xformx_d_size=6 -Wa,-defsym,xformy_d_size=6 -Wa,-defsym,xformx_f_size=4 -Wa,-defsym,xformy_f_size=4 -Wa,-defsym,fdilation_w=1 -Wa,-defsym,fdilation_h=1 -Wa,-defsym,MIOPEN_USE_RNE_BFLOAT16=1",
                        "kernel_file": "xform_data.s",
                        "md5_sum": "1ee1ac3627ad6f2fd33b2f27de08ccaf",
                        "uncompressed_size": 18872
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                        "comp_options": " -Wa,-defsym,acc_type=1 -Wa,-defsym,buf_type=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,MIOPEN_USE_RNE_BFLOAT16=1 -Wa,-defsym,xformx_o_size=3 -Wa,-defsym,xformy_o_size=3 -Wa,-defsym,xformx_d_size=6 -Wa,-defsym,xformy_d_size=6 -Wa,-defsym,xformx_f_size=4 -Wa,-defsym,xformy_f_size=4 -Wa,-defsym,fdilation_w=1 -Wa,-defsym,fdilation_h=1",
                        "kernel_file": "xform_filter.s",
                        "md5_sum": "945e2c72ab9c59fd8b3ffd57e84aa674",
                        "uncompressed_size": 18872
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",
                        "comp_options": " -Wa,-defsym,acc_type=1 -Wa,-defsym,buf_type=1 -Wa,-defsym,ROCM_METADATA_VERSION=5 -Wa,-defsym,MIOPEN_USE_RNE_BFLOAT16=1 -Wa,-defsym,xformx_o_size=3 -Wa,-defsym,xformy_o_size=3 -Wa,-defsym,xformx_d_size=6 -Wa,-defsym,xformy_d_size=6 -Wa,-defsym,xformx_f_size=4 -Wa,-defsym,xformy_f_size=4 -Wa,-defsym,fdilation_w=1 -Wa,-defsym,fdilation_h=1",
                        "kernel_file": "xform_out.s",
                        "md5_sum": "34f741404a0658c7e090044b14ef47fe",
                        "uncompressed_size": 17080
                    }
                ],
                "solver_id": "ConvWinograd3x3MultipassWrW<3-4>",
                "workspace": 60162048
            }
        ],
        "network_config": "128x28x28x3x3x128x28x28x32xNCHWxFP32x1x1x1x1x1x1x1xW"
    }
]