%3 = nn.batch_norm(%2, %mnasnet0_stage1_conv0_batchnorm0_gamma, %mnasnet0_stage1_conv0_batchnorm0_beta, %mnasnet0_stage1_conv0_batchnorm0_running_mean, %mnasnet0_stage1_conv0_batchnorm0_running_var, epsilon=1e-05f); %4 = %3.0; %5 = nn.prelu(%4, %mnasnet0_stage1_conv0_prelu0_alpha) in particular dimension 0 conflicts 8 does not match 1; unable to unify: `Tensor[(8), float32]` and `Tensor[(1), float32]`; ; %6 = nn.conv2d(%5, %mnasnet0_stage1_sepconv0_conv0_weight, padding=[1, 1], groups=8, kernel_size=[3, 3]); %7 = nn.batch_norm(%6, %mnasnet0_stage1_sepconv0_batchnorm0_gamma, %mnasnet0_stage1_sepconv0_batchnorm0_beta, %mnasnet0_stage1_sepconv0_batchnorm0_running_mean, %mnasnet0_stage1_sepconv0_batchnorm0_running_var, epsilon=1e-05f); %8 = %7.0; %9 = nn.prelu(%8, %mnasnet0_stage1_sepconv0_prelu0_alpha) in particular dimension 0 conflicts 8 does not match 1; unable to unify: `Tensor[(8), float32]` and `Tensor[(1), float32]`; ; %10 = nn.conv2d(%9, %mnasnet0_stage1_sepconv0_conv1_weight, kernel_size=[1, 1]); %11 = nn.batch_norm(%10, %mnasnet0_stage1_sepconv0_batchnorm1_gamma, %mnasnet0_stage1_sepconv0_batchnorm1_beta, %mnasnet0_stage1_sepconv0_batchnorm1_running_mean, %mnasnet0_stage1_sepconv0_batchnorm1_running_var, epsilon=1e-05f); %12 = %11.0; %13 = nn.prelu(%12, %mnasnet0_stage1_sepconv0_prelu1_alpha) in particular dimension 0 conflicts 4 does not match 1; unable to unify: `Tensor[(4), float32]` and `Tensor[(1), float32]`; ; %14 = nn.conv2d(%13, %mnasnet0_stage2_expandedconv0_expand_conv0_weight, kernel_size=[1, 1]); %15 = nn.batch_norm(%14, %mnasnet0_stage2_expandedconv0_expand_batchnorm0_gamma, %mnasnet0_stage2_expandedconv0_expand_batchnorm0_beta, %mnasnet0_stage2_expandedconv0_expand_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv0_expand_batchnorm0_running_var, epsilon=1e-05f); %16 = %15.0; %17 = nn.prelu(%16, %mnasnet0_stage2_expandedconv0_expand_prelu0_alpha) in particular dimension 0 conflicts 12 does not match 1; unable to unify: `Tensor[(12), float32]` and `Tensor[(1), float32]`; ; %18 = nn.conv2d(%17, %mnasnet0_stage2_expandedconv0_dwise_conv0_weight, strides=[2, 2], padding=[1, 1], groups=12, kernel_size=[3, 3]); %19 = nn.batch_norm(%18, %mnasnet0_stage2_expandedconv0_dwise_batchnorm0_gamma, %mnasnet0_stage2_expandedconv0_dwise_batchnorm0_beta, %mnasnet0_stage2_expandedconv0_dwise_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv0_dwise_batchnorm0_running_var, epsilon=1e-05f); %20 = %19.0; %21 = nn.prelu(%20, %mnasnet0_stage2_expandedconv0_dwise_prelu0_alpha) in particular dimension 0 conflicts 12 does not match 1; unable to unify: `Tensor[(12), float32]` and `Tensor[(1), float32]`; ; %22 = nn.conv2d(%21, %mnasnet0_stage2_expandedconv0_linear_conv0_weight, kernel_size=[1, 1]); %23 = nn.batch_norm(%22, %mnasnet0_stage2_expandedconv0_linear_batchnorm0_gamma, %mnasnet0_stage2_expandedconv0_linear_batchnorm0_beta, %mnasnet0_stage2_expandedconv0_linear_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv0_linear_batchnorm0_running_var, epsilon=1e-05f); %24 = %23.0; %25 = nn.conv2d(%24, %mnasnet0_stage2_expandedconv1_expand_conv0_weight, kernel_size=[1, 1]); %26 = nn.batch_norm(%25, %mnasnet0_stage2_expandedconv1_expand_batchnorm0_gamma, %mnasnet0_stage2_expandedconv1_expand_batchnorm0_beta, %mnasnet0_stage2_expandedconv1_expand_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv1_expand_batchnorm0_running_var, epsilon=1e-05f); %27 = %26.0; %28 = nn.prelu(%27, %mnasnet0_stage2_expandedconv1_expand_prelu0_alpha) in particular dimension 0 conflicts 18 does not match 1; unable to unify: `Tensor[(18), float32]` and `Tensor[(1), float32]`; ; %29 = nn.conv2d(%28, %mnasnet0_stage2_expandedconv1_dwise_conv0_weight, padding=[1, 1], groups=18, kernel_size=[3, 3]); %30 = nn.batch_norm(%29, %mnasnet0_stage2_expandedconv1_dwise_batchnorm0_gamma, %mnasnet0_stage2_expandedconv1_dwise_batchnorm0_beta, %mnasnet0_stage2_expandedconv1_dwise_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv1_dwise_batchnorm0_running_var, epsilon=1e-05f); %31 = %30.0; %32 = nn.prelu(%31, %mnasnet0_stage2_expandedconv1_dwise_prelu0_alpha) in particular dimension 0 conflicts 18 does not match 1; unable to unify: `Tensor[(18), float32]` and `Tensor[(1), float32]`; ; %33 = nn.conv2d(%32, %mnasnet0_stage2_expandedconv1_linear_conv0_weight, kernel_size=[1, 1]); %34 = nn.batch_norm(%33, %mnasnet0_stage2_expandedconv1_linear_batchnorm0_gamma, %mnasnet0_stage2_expandedconv1_linear_batchnorm0_beta, %mnasnet0_stage2_expandedconv1_linear_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv1_linear_batchnorm0_running_var, epsilon=1e-05f); %35 = %34.0; %36 = add(%35, %24); %37 = nn.conv2d(%36, %mnasnet0_stage2_expandedconv2_expand_conv0_weight, kernel_size=[1, 1]); %38 = nn.batch_norm(%37, %mnasnet0_stage2_expandedconv2_expand_batchnorm0_gamma, %mnasnet0_stage2_expandedconv2_expand_batchnorm0_beta, %mnasnet0_stage2_expandedconv2_expand_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv2_expand_batchnorm0_running_var, epsilon=1e-05f); %39 = %38.0; %40 = nn.prelu(%39, %mnasnet0_stage2_expandedconv2_expand_prelu0_alpha) in particular dimension 0 conflicts 18 does not match 1; unable to unify: `Tensor[(18), float32]` and `Tensor[(1), float32]`; ; %41 = nn.conv2d(%40, %mnasnet0_stage2_expandedconv2_dwise_conv0_weight, padding=[1, 1], groups=18, kernel_size=[3, 3]); %42 = nn.batch_norm(%41, %mnasnet0_stage2_expandedconv2_dwise_batchnorm0_gamma, %mnasnet0_stage2_expandedconv2_dwise_batchnorm0_beta, %mnasnet0_stage2_expandedconv2_dwise_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv2_dwise_batchnorm0_running_var, epsilon=1e-05f); %43 = %42.0; %44 = nn.prelu(%43, %mnasnet0_stage2_expandedconv2_dwise_prelu0_alpha) in particular dimension 0 conflicts 18 does not match 1; unable to unify: `Tensor[(18), float32]` and `Tensor[(1), float32]`; ; %45 = nn.conv2d(%44, %mnasnet0_stage2_expandedconv2_linear_conv0_weight, kernel_size=[1, 1]); %46 = nn.batch_norm(%45, %mnasnet0_stage2_expandedconv2_linear_batchnorm0_gamma, %mnasnet0_stage2_expandedconv2_linear_batchnorm0_beta, %mnasnet0_stage2_expandedconv2_linear_batchnorm0_running_mean, %mnasnet0_stage2_expandedconv2_linear_batchnorm0_running_var, epsilon=1e-05f); %47 = %46.0; %48 = add(%47, %36); %49 = nn.conv2d(%48, %mnasnet0_stage3_expandedconv0_expand_conv0_weight, kernel_size=[1, 1]); %50 = nn.batch_norm(%49, %mnasnet0_stage3_expandedconv0_expand_batchnorm0_gamma, %mnasnet0_stage3_expandedconv0_expand_batchnorm0_beta, %mnasnet0_stage3_expandedconv0_expand_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv0_expand_batchnorm0_running_var, epsilon=1e-05f); %51 = %50.0; %52 = nn.prelu(%51, %mnasnet0_stage3_expandedconv0_expand_prelu0_alpha) in particular dimension 0 conflicts 18 does not match 1; unable to unify: `Tensor[(18), float32]` and `Tensor[(1), float32]`; ; %53 = nn.conv2d(%52, %mnasnet0_stage3_expandedconv0_dwise_conv0_weight, strides=[2, 2], padding=[2, 2], groups=18, kernel_size=[5, 5]); %54 = nn.batch_norm(%53, %mnasnet0_stage3_expandedconv0_dwise_batchnorm0_gamma, %mnasnet0_stage3_expandedconv0_dwise_batchnorm0_beta, %mnasnet0_stage3_expandedconv0_dwise_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv0_dwise_batchnorm0_running_var, epsilon=1e-05f); %55 = %54.0; %56 = nn.prelu(%55, %mnasnet0_stage3_expandedconv0_dwise_prelu0_alpha) in particular dimension 0 conflicts 18 does not match 1; unable to unify: `Tensor[(18), float32]` and `Tensor[(1), float32]`; ; %57 = nn.conv2d(%56, %mnasnet0_stage3_expandedconv0_linear_conv0_weight, kernel_size=[1, 1]); %58 = nn.batch_norm(%57, %mnasnet0_stage3_expandedconv0_linear_batchnorm0_gamma, %mnasnet0_stage3_expandedconv0_linear_batchnorm0_beta, %mnasnet0_stage3_expandedconv0_linear_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv0_linear_batchnorm0_running_var, epsilon=1e-05f); %59 = %58.0; %60 = nn.conv2d(%59, %mnasnet0_stage3_expandedconv1_expand_conv0_weight, kernel_size=[1, 1]); %61 = nn.batch_norm(%60, %mnasnet0_stage3_expandedconv1_expand_batchnorm0_gamma, %mnasnet0_stage3_expandedconv1_expand_batchnorm0_beta, %mnasnet0_stage3_expandedconv1_expand_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv1_expand_batchnorm0_running_var, epsilon=1e-05f); %62 = %61.0; %63 = nn.prelu(%62, %mnasnet0_stage3_expandedconv1_expand_prelu0_alpha) in particular dimension 0 conflicts 30 does not match 1; unable to unify: `Tensor[(30), float32]` and `Tensor[(1), float32]`; ; %64 = nn.conv2d(%63, %mnasnet0_stage3_expandedconv1_dwise_conv0_weight, padding=[1, 1], groups=30, kernel_size=[3, 3]); %65 = nn.batch_norm(%64, %mnasnet0_stage3_expandedconv1_dwise_batchnorm0_gamma, %mnasnet0_stage3_expandedconv1_dwise_batchnorm0_beta, %mnasnet0_stage3_expandedconv1_dwise_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv1_dwise_batchnorm0_running_var, epsilon=1e-05f); %66 = %65.0; %67 = nn.prelu(%66, %mnasnet0_stage3_expandedconv1_dwise_prelu0_alpha) in particular dimension 0 conflicts 30 does not match 1; unable to unify: `Tensor[(30), float32]` and `Tensor[(1), float32]`; ; %68 = nn.conv2d(%67, %mnasnet0_stage3_expandedconv1_linear_conv0_weight, kernel_size=[1, 1]); %69 = nn.batch_norm(%68, %mnasnet0_stage3_expandedconv1_linear_batchnorm0_gamma, %mnasnet0_stage3_expandedconv1_linear_batchnorm0_beta, %mnasnet0_stage3_expandedconv1_linear_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv1_linear_batchnorm0_running_var, epsilon=1e-05f); %70 = %69.0; %71 = add(%70, %59); %72 = nn.conv2d(%71, %mnasnet0_stage3_expandedconv2_expand_conv0_weight, kernel_size=[1, 1]); %73 = nn.batch_norm(%72, %mnasnet0_stage3_expandedconv2_expand_batchnorm0_gamma, %mnasnet0_stage3_expandedconv2_expand_batchnorm0_beta, %mnasnet0_stage3_expandedconv2_expand_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv2_expand_batchnorm0_running_var, epsilon=1e-05f); %74 = %73.0; %75 = nn.prelu(%74, %mnasnet0_stage3_expandedconv2_expand_prelu0_alpha) in particular dimension 0 conflicts 30 does not match 1; unable to unify: `Tensor[(30), float32]` and `Tensor[(1), float32]`; ; %76 = nn.conv2d(%75, %mnasnet0_stage3_expandedconv2_dwise_conv0_weight, padding=[1, 1], groups=30, kernel_size=[3, 3]); %77 = nn.batch_norm(%76, %mnasnet0_stage3_expandedconv2_dwise_batchnorm0_gamma, %mnasnet0_stage3_expandedconv2_dwise_batchnorm0_beta, %mnasnet0_stage3_expandedconv2_dwise_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv2_dwise_batchnorm0_running_var, epsilon=1e-05f); %78 = %77.0; %79 = nn.prelu(%78, %mnasnet0_stage3_expandedconv2_dwise_prelu0_alpha) in particular dimension 0 conflicts 30 does not match 1; unable to unify: `Tensor[(30), float32]` and `Tensor[(1), float32]`; ; %80 = nn.conv2d(%79, %mnasnet0_stage3_expandedconv2_linear_conv0_weight, kernel_size=[1, 1]); %81 = nn.batch_norm(%80, %mnasnet0_stage3_expandedconv2_linear_batchnorm0_gamma, %mnasnet0_stage3_expandedconv2_linear_batchnorm0_beta, %mnasnet0_stage3_expandedconv2_linear_batchnorm0_running_mean, %mnasnet0_stage3_expandedconv2_linear_batchnorm0_running_var, epsilon=1e-05f); %82 = %81.0; %83 = add(%82, %71); %84 = nn.conv2d(%83, %mnasnet0_stage4_1_expandedconv0_expand_conv0_weight, kernel_size=[1, 1]); %85 = nn.batch_norm(%84, %mnasnet0_stage4_1_expandedconv0_expand_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv0_expand_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv0_expand_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv0_expand_batchnorm0_running_var, epsilon=1e-05f); %86 = %85.0; %87 = nn.prelu(%86, %mnasnet0_stage4_1_expandedconv0_expand_prelu0_alpha) in particular dimension 0 conflicts 60 does not match 1; unable to unify: `Tensor[(60), float32]` and `Tensor[(1), float32]`; ; %88 = nn.conv2d(%87, %mnasnet0_stage4_1_expandedconv0_dwise_conv0_weight, strides=[2, 2], padding=[2, 2], groups=60, kernel_size=[5, 5]); %89 = nn.batch_norm(%88, %mnasnet0_stage4_1_expandedconv0_dwise_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv0_dwise_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv0_dwise_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv0_dwise_batchnorm0_running_var, epsilon=1e-05f); %90 = %89.0; %91 = nn.prelu(%90, %mnasnet0_stage4_1_expandedconv0_dwise_prelu0_alpha) in particular dimension 0 conflicts 60 does not match 1; unable to unify: `Tensor[(60), float32]` and `Tensor[(1), float32]`; ; %92 = nn.conv2d(%91, %mnasnet0_stage4_1_expandedconv0_linear_conv0_weight, kernel_size=[1, 1]); %93 = nn.batch_norm(%92, %mnasnet0_stage4_1_expandedconv0_linear_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv0_linear_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv0_linear_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv0_linear_batchnorm0_running_var, epsilon=1e-05f); %94 = %93.0; %95 = nn.conv2d(%94, %mnasnet0_stage4_1_expandedconv1_expand_conv0_weight, kernel_size=[1, 1]); %96 = nn.batch_norm(%95, %mnasnet0_stage4_1_expandedconv1_expand_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv1_expand_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv1_expand_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv1_expand_batchnorm0_running_var, epsilon=1e-05f); %97 = %96.0; %98 = nn.prelu(%97, %mnasnet0_stage4_1_expandedconv1_expand_prelu0_alpha) in particular dimension 0 conflicts 120 does not match 1; unable to unify: `Tensor[(120), float32]` and `Tensor[(1), float32]`; ; %99 = nn.conv2d(%98, %mnasnet0_stage4_1_expandedconv1_dwise_conv0_weight, padding=[1, 1], groups=120, kernel_size=[3, 3]); %100 = nn.batch_norm(%99, %mnasnet0_stage4_1_expandedconv1_dwise_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv1_dwise_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv1_dwise_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv1_dwise_batchnorm0_running_var, epsilon=1e-05f); %101 = %100.0; %102 = nn.prelu(%101, %mnasnet0_stage4_1_expandedconv1_dwise_prelu0_alpha) in particular dimension 0 conflicts 120 does not match 1; unable to unify: `Tensor[(120), float32]` and `Tensor[(1), float32]`; ; %103 = nn.conv2d(%102, %mnasnet0_stage4_1_expandedconv1_linear_conv0_weight, kernel_size=[1, 1]); %104 = nn.batch_norm(%103, %mnasnet0_stage4_1_expandedconv1_linear_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv1_linear_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv1_linear_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv1_linear_batchnorm0_running_var, epsilon=1e-05f); %105 = %104.0; %106 = add(%105, %94); %107 = nn.conv2d(%106, %mnasnet0_stage4_1_expandedconv2_expand_conv0_weight, kernel_size=[1, 1]); %108 = nn.batch_norm(%107, %mnasnet0_stage4_1_expandedconv2_expand_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv2_expand_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv2_expand_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv2_expand_batchnorm0_running_var, epsilon=1e-05f); %109 = %108.0; %110 = nn.prelu(%109, %mnasnet0_stage4_1_expandedconv2_expand_prelu0_alpha) in particular dimension 0 conflicts 120 does not match 1; unable to unify: `Tensor[(120), float32]` and `Tensor[(1), float32]`; ; %111 = nn.conv2d(%110, %mnasnet0_stage4_1_expandedconv2_dwise_conv0_weight, padding=[1, 1], groups=120, kernel_size=[3, 3]); %112 = nn.batch_norm(%111, %mnasnet0_stage4_1_expandedconv2_dwise_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv2_dwise_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv2_dwise_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv2_dwise_batchnorm0_running_var, epsilon=1e-05f); %113 = %112.0; %114 = nn.prelu(%113, %mnasnet0_stage4_1_expandedconv2_dwise_prelu0_alpha) in particular dimension 0 conflicts 120 does not match 1; unable to unify: `Tensor[(120), float32]` and `Tensor[(1), float32]`; ; %115 = nn.conv2d(%114, %mnasnet0_stage4_1_expandedconv2_linear_conv0_weight, kernel_size=[1, 1]); %116 = nn.batch_norm(%115, %mnasnet0_stage4_1_expandedconv2_linear_batchnorm0_gamma, %mnasnet0_stage4_1_expandedconv2_linear_batchnorm0_beta, %mnasnet0_stage4_1_expandedconv2_linear_batchnorm0_running_mean, %mnasnet0_stage4_1_expandedconv2_linear_batchnorm0_running_var, epsilon=1e-05f); %117 = %116.0; %118 = add(%117, %106); %119 = nn.conv2d(%118, %mnasnet0_stage4_2_expandedconv0_expand_conv0_weight, kernel_size=[1, 1]); %120 = nn.batch_norm(%119, %mnasnet0_stage4_2_expandedconv0_expand_batchnorm0_gamma, %mnasnet0_stage4_2_expandedconv0_expand_batchnorm0_beta, %mnasnet0_stage4_2_expandedconv0_expand_batchnorm0_running_mean, %mnasnet0_stage4_2_expandedconv0_expand_batchnorm0_running_var, epsilon=1e-05f); %121 = %120.0; %122 = nn.prelu(%121, %mnasnet0_stage4_2_expandedconv0_expand_prelu0_alpha) in particular dimension 0 conflicts 120 does not match 1; unable to unify: `Tensor[(120), float32]` and `Tensor[(1), float32]`; ; %123 = nn.conv2d(%122, %mnasnet0_stage4_2_expandedconv0_dwise_conv0_weight, padding=[1, 1], groups=120, kernel_size=[3, 3]); %124 = nn.batch_norm(%123, %mnasnet0_stage4_2_expandedconv0_dwise_batchnorm0_gamma, %mnasnet0_stage4_2_expandedconv0_dwise_batchnorm0_beta, %mnasnet0_stage4_2_expandedconv0_dwise_batchnorm0_running_mean, %mnasnet0_stage4_2_expandedconv0_dwise_batchnorm0_running_var, epsilon=1e-05f); %125 = %124.0; %126 = nn.prelu(%125, %mnasnet0_stage4_2_expandedconv0_dwise_prelu0_alpha) in particular dimension 0 conflicts 120 does not match 1; unable to unify: `Tensor[(120), float32]` and `Tensor[(1), float32]`; ; %127 = nn.conv2d(%126, %mnasnet0_stage4_2_expandedconv0_linear_conv0_weight, kernel_size=[1, 1]); %128 = nn.batch_norm(%127, %mnasnet0_stage4_2_expandedconv0_linear_batchnorm0_gamma, %mnasnet0_stage4_2_expandedconv0_linear_batchnorm0_beta, %mnasnet0_stage4_2_expandedconv0_linear_batchnorm0_running_mean, %mnasnet0_stage4_2_expandedconv0_linear_batchnorm0_running_var, epsilon=1e-05f); %129 = %128.0; %130 = nn.conv2d(%129, %mnasnet0_stage4_2_expandedconv1_expand_conv0_weight, kernel_size=[1, 1]); %131 = nn.batch_norm(%130, %mnasnet0_stage4_2_expandedconv1_expand_batchnorm0_gamma, %mnasnet0_stage4_2_expandedconv1_expand_batchnorm0_beta, %mnasnet0_stage4_2_expandedconv1_expand_batchnorm0_running_mean, %mnasnet0_stage4_2_expandedconv1_expand_batchnorm0_running_var, epsilon=1e-05f); %132 = %131.0; %133 = nn.prelu(%132, %mnasnet0_stage4_2_expandedconv1_expand_prelu0_alpha) in particular dimension 0 conflicts 144 does not match 1; unable to unify: `Tensor[(144), float32]` and `Tensor[(1), float32]`; ; %134 = nn.conv2d(%133, %mnasnet0_stage4_2_expandedconv1_dwise_conv0_weight, padding=[1, 1], groups=144, kernel_size=[3, 3]); %135 = nn.batch_norm(%134, %mnasnet0_stage4_2_expandedconv1_dwise_batchnorm0_gamma, %mnasnet0_stage4_2_expandedconv1_dwise_batchnorm0_beta, %mnasnet0_stage4_2_expandedconv1_dwise_batchnorm0_running_mean, %mnasnet0_stage4_2_expandedconv1_dwise_batchnorm0_running_var, epsilon=1e-05f); %136 = %135.0; %137 = nn.prelu(%136, %mnasnet0_stage4_2_expandedconv1_dwise_prelu0_alpha) in particular dimension 0 conflicts 144 does not match 1; unable to unify: `Tensor[(144), float32]` and `Tensor[(1), float32]`; ; %138 = nn.conv2d(%137, %mnasnet0_stage4_2_expandedconv1_linear_conv0_weight, kernel_size=[1, 1]); %139 = nn.batch_norm(%138, %mnasnet0_stage4_2_expandedconv1_linear_batchnorm0_gamma, %mnasnet0_stage4_2_expandedconv1_linear_batchnorm0_beta, %mnasnet0_stage4_2_expandedconv1_linear_batchnorm0_running_mean, %mnasnet0_stage4_2_expandedconv1_linear_batchnorm0_running_var, epsilon=1e-05f); %140 = %139.0; %141 = add(%140, %129); %142 = nn.conv2d(%141, %mnasnet0_stage5_1_expandedconv0_expand_conv0_weight, kernel_size=[1, 1]); %143 = nn.batch_norm(%142, %mnasnet0_stage5_1_expandedconv0_expand_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv0_expand_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv0_expand_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv0_expand_batchnorm0_running_var, epsilon=1e-05f); %144 = %143.0; %145 = nn.prelu(%144, %mnasnet0_stage5_1_expandedconv0_expand_prelu0_alpha) in particular dimension 0 conflicts 144 does not match 1; unable to unify: `Tensor[(144), float32]` and `Tensor[(1), float32]`; ; %146 = nn.conv2d(%145, %mnasnet0_stage5_1_expandedconv0_dwise_conv0_weight, strides=[2, 2], padding=[2, 2], groups=144, kernel_size=[5, 5]); %147 = nn.batch_norm(%146, %mnasnet0_stage5_1_expandedconv0_dwise_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv0_dwise_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv0_dwise_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv0_dwise_batchnorm0_running_var, epsilon=1e-05f); %148 = %147.0; %149 = nn.prelu(%148, %mnasnet0_stage5_1_expandedconv0_dwise_prelu0_alpha) in particular dimension 0 conflicts 144 does not match 1; unable to unify: `Tensor[(144), float32]` and `Tensor[(1), float32]`; ; %150 = nn.conv2d(%149, %mnasnet0_stage5_1_expandedconv0_linear_conv0_weight, kernel_size=[1, 1]); %151 = nn.batch_norm(%150, %mnasnet0_stage5_1_expandedconv0_linear_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv0_linear_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv0_linear_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv0_linear_batchnorm0_running_var, epsilon=1e-05f); %152 = %151.0; %153 = nn.conv2d(%152, %mnasnet0_stage5_1_expandedconv1_expand_conv0_weight, kernel_size=[1, 1]); %154 = nn.batch_norm(%153, %mnasnet0_stage5_1_expandedconv1_expand_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv1_expand_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv1_expand_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv1_expand_batchnorm0_running_var, epsilon=1e-05f); %155 = %154.0; %156 = nn.prelu(%155, %mnasnet0_stage5_1_expandedconv1_expand_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %157 = nn.conv2d(%156, %mnasnet0_stage5_1_expandedconv1_dwise_conv0_weight, padding=[1, 1], groups=288, kernel_size=[3, 3]); %158 = nn.batch_norm(%157, %mnasnet0_stage5_1_expandedconv1_dwise_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv1_dwise_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv1_dwise_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv1_dwise_batchnorm0_running_var, epsilon=1e-05f); %159 = %158.0; %160 = nn.prelu(%159, %mnasnet0_stage5_1_expandedconv1_dwise_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %161 = nn.conv2d(%160, %mnasnet0_stage5_1_expandedconv1_linear_conv0_weight, kernel_size=[1, 1]); %162 = nn.batch_norm(%161, %mnasnet0_stage5_1_expandedconv1_linear_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv1_linear_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv1_linear_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv1_linear_batchnorm0_running_var, epsilon=1e-05f); %163 = %162.0; %164 = add(%163, %152); %165 = nn.conv2d(%164, %mnasnet0_stage5_1_expandedconv2_expand_conv0_weight, kernel_size=[1, 1]); %166 = nn.batch_norm(%165, %mnasnet0_stage5_1_expandedconv2_expand_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv2_expand_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv2_expand_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv2_expand_batchnorm0_running_var, epsilon=1e-05f); %167 = %166.0; %168 = nn.prelu(%167, %mnasnet0_stage5_1_expandedconv2_expand_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %169 = nn.conv2d(%168, %mnasnet0_stage5_1_expandedconv2_dwise_conv0_weight, padding=[1, 1], groups=288, kernel_size=[3, 3]); %170 = nn.batch_norm(%169, %mnasnet0_stage5_1_expandedconv2_dwise_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv2_dwise_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv2_dwise_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv2_dwise_batchnorm0_running_var, epsilon=1e-05f); %171 = %170.0; %172 = nn.prelu(%171, %mnasnet0_stage5_1_expandedconv2_dwise_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %173 = nn.conv2d(%172, %mnasnet0_stage5_1_expandedconv2_linear_conv0_weight, kernel_size=[1, 1]); %174 = nn.batch_norm(%173, %mnasnet0_stage5_1_expandedconv2_linear_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv2_linear_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv2_linear_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv2_linear_batchnorm0_running_var, epsilon=1e-05f); %175 = %174.0; %176 = add(%175, %164); %177 = nn.conv2d(%176, %mnasnet0_stage5_1_expandedconv3_expand_conv0_weight, kernel_size=[1, 1]); %178 = nn.batch_norm(%177, %mnasnet0_stage5_1_expandedconv3_expand_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv3_expand_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv3_expand_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv3_expand_batchnorm0_running_var, epsilon=1e-05f); %179 = %178.0; %180 = nn.prelu(%179, %mnasnet0_stage5_1_expandedconv3_expand_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %181 = nn.conv2d(%180, %mnasnet0_stage5_1_expandedconv3_dwise_conv0_weight, padding=[1, 1], groups=288, kernel_size=[3, 3]); %182 = nn.batch_norm(%181, %mnasnet0_stage5_1_expandedconv3_dwise_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv3_dwise_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv3_dwise_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv3_dwise_batchnorm0_running_var, epsilon=1e-05f); %183 = %182.0; %184 = nn.prelu(%183, %mnasnet0_stage5_1_expandedconv3_dwise_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %185 = nn.conv2d(%184, %mnasnet0_stage5_1_expandedconv3_linear_conv0_weight, kernel_size=[1, 1]); %186 = nn.batch_norm(%185, %mnasnet0_stage5_1_expandedconv3_linear_batchnorm0_gamma, %mnasnet0_stage5_1_expandedconv3_linear_batchnorm0_beta, %mnasnet0_stage5_1_expandedconv3_linear_batchnorm0_running_mean, %mnasnet0_stage5_1_expandedconv3_linear_batchnorm0_running_var, epsilon=1e-05f); %187 = %186.0; %188 = add(%187, %176); %189 = nn.conv2d(%188, %mnasnet0_stage5_2_expandedconv0_expand_conv0_weight, kernel_size=[1, 1]); %190 = nn.batch_norm(%189, %mnasnet0_stage5_2_expandedconv0_expand_batchnorm0_gamma, %mnasnet0_stage5_2_expandedconv0_expand_batchnorm0_beta, %mnasnet0_stage5_2_expandedconv0_expand_batchnorm0_running_mean, %mnasnet0_stage5_2_expandedconv0_expand_batchnorm0_running_var, epsilon=1e-05f); %191 = %190.0; %192 = nn.prelu(%191, %mnasnet0_stage5_2_expandedconv0_expand_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %193 = nn.conv2d(%192, %mnasnet0_stage5_2_expandedconv0_dwise_conv0_weight, padding=[1, 1], groups=288, kernel_size=[3, 3]); %194 = nn.batch_norm(%193, %mnasnet0_stage5_2_expandedconv0_dwise_batchnorm0_gamma, %mnasnet0_stage5_2_expandedconv0_dwise_batchnorm0_beta, %mnasnet0_stage5_2_expandedconv0_dwise_batchnorm0_running_mean, %mnasnet0_stage5_2_expandedconv0_dwise_batchnorm0_running_var, epsilon=1e-05f); %195 = %194.0; %196 = nn.prelu(%195, %mnasnet0_stage5_2_expandedconv0_dwise_prelu0_alpha) in particular dimension 0 conflicts 288 does not match 1; unable to unify: `Tensor[(288), float32]` and `Tensor[(1), float32]`; ; %197 = nn.conv2d(%196, %mnasnet0_stage5_2_expandedconv0_linear_conv0_weight, kernel_size=[1, 1]); %198 = nn.batch_norm(%197, %mnasnet0_stage5_2_expandedconv0_linear_batchnorm0_gamma, %mnasnet0_stage5_2_expandedconv0_linear_batchnorm0_beta, %mnasnet0_stage5_2_expandedconv0_linear_batchnorm0_running_mean, %mnasnet0_stage5_2_expandedconv0_linear_batchnorm0_running_var, epsilon=1e-05f); %199 = %198.0; %200 = nn.conv2d(%199, %mnasnet0_stage5_3_conv0_weight, kernel_size=[1, 1]); %201 = nn.batch_norm(%200, %mnasnet0_stage5_3_batchnorm0_gamma, %mnasnet0_stage5_3_batchnorm0_beta, %mnasnet0_stage5_3_batchnorm0_running_mean, %mnasnet0_stage5_3_batchnorm0_running_var, epsilon=1e-05f); %202 = %201.0; %203 = nn.prelu(%202, %mnasnet0_stage5_3_prelu0_alpha) in particular dimension 0 conflicts 256 does not match 1; unable to unify: `Tensor[(256), float32]` and `Tensor[(1), float32]`; ; %204 = nn.conv2d(%203, %conv_6dw7_7_conv2d_weight, groups=256, kernel_size=[7, 7]); %205 = nn.batch_norm(%204, %conv_6dw7_7_batchnorm_gamma, %conv_6dw7_7_batchnorm_beta, %conv_6dw7_7_batchnorm_moving_mean, %conv_6dw7_7_batchnorm_moving_var, epsilon=0.001f); %206 = %205.0; %207 = nn.batch_flatten(%206); %208 = nn.batch_flatten(%207); %209 = multiply(1f, %208); %210 = nn.dense(%209, %pre_fc1_weight, units=256); %211 = multiply(1f, %pre_fc1_bias); %212 = nn.bias_add(%210, %211); %213 = nn.batch_norm(%212, %fc1_gamma, %fc1_beta, %fc1_moving_mean, %fc1_moving_var, epsilon=2e-05f); %213.0 }
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