TRT-7000-EntropyCalibration2 input_1: 3f9849a2 conv1/convolution: 4143e080 bn_conv1/batchnorm/mul_1: 3e23aa61 bn_conv1/batchnorm/add_1: 3e32dc85 activation_1/Relu: 3e2be812 block_1a_conv_1/convolution: 3eee52e9 block_1a_bn_1/batchnorm/mul_1: 3e2b259f block_1a_bn_1/batchnorm/add_1: 3e14f725 block_1a_relu_1/Relu: 3db066be block_1a_conv_2/convolution: 3e872d75 block_1a_bn_2/batchnorm/mul_1: 3e66a816 block_1a_bn_2/batchnorm/add_1: 3e4bf3ec block_1a_conv_shortcut/convolution: 3e6fbf1a block_1a_bn_shortcut/batchnorm/mul_1: 3e38719e block_1a_bn_shortcut/batchnorm/add_1: 3e142c25 add_1/add: 3e88f759 block_1a_relu/Relu: 3e861a79 block_1b_conv_1/convolution: 3f048ce7 block_1b_bn_1/batchnorm/mul_1: 3dda6da0 block_1b_bn_1/batchnorm/add_1: 3de32e9c block_1b_relu_1/Relu: 3dcf8695 block_1b_conv_2/convolution: 3e22d4ef block_1b_bn_2/batchnorm/mul_1: 3e20ec07 block_1b_bn_2/batchnorm/add_1: 3e12a1de block_1b_conv_shortcut/convolution: 3e6bd89f block_1b_bn_shortcut/batchnorm/mul_1: 3e0472f6 block_1b_bn_shortcut/batchnorm/add_1: 3e0464d2 add_2/add: 3e45e695 block_1b_relu/Relu: 3e499731 block_2a_conv_1/convolution: 3efd7806 block_2a_bn_1/batchnorm/mul_1: 3dee4be3 block_2a_bn_1/batchnorm/add_1: 3dcb5e43 block_2a_relu_1/Relu: 3dcbe977 block_2a_conv_2/convolution: 3ec155de block_2a_bn_2/batchnorm/mul_1: 3e067e66 block_2a_bn_2/batchnorm/add_1: 3df0641c block_2a_conv_shortcut/convolution: 3e31478a block_2a_bn_shortcut/batchnorm/mul_1: 3d8e88de block_2a_bn_shortcut/batchnorm/add_1: 3d95eed7 add_3/add: 3e0da4bd block_2a_relu/Relu: 3e0af68d block_2b_conv_1/convolution: 3eac2af8 block_2b_bn_1/batchnorm/mul_1: 3dd94cf7 block_2b_bn_1/batchnorm/add_1: 3da9fbaf block_2b_relu_1/Relu: 3d8e4026 block_2b_conv_2/convolution: 3e0483d8 block_2b_bn_2/batchnorm/mul_1: 3dea42b6 block_2b_bn_2/batchnorm/add_1: 3deaa5fd block_2b_conv_shortcut/convolution: 3e27b093 block_2b_bn_shortcut/batchnorm/mul_1: 3dd8359f block_2b_bn_shortcut/batchnorm/add_1: 3dc7e036 add_4/add: 3e10574a block_2b_relu/Relu: 3e10fd5c block_3a_conv_1/convolution: 3e8fa179 block_3a_bn_1/batchnorm/mul_1: 3dab4f8e block_3a_bn_1/batchnorm/add_1: 3d97d1b1 block_3a_relu_1/Relu: 3da8e421 block_3a_conv_2/convolution: 3e61f5a6 block_3a_bn_2/batchnorm/mul_1: 3dc83381 block_3a_bn_2/batchnorm/add_1: 3dd6bdc3 block_3a_conv_shortcut/convolution: 3e1e1b3e block_3a_bn_shortcut/batchnorm/mul_1: 3d6111ab block_3a_bn_shortcut/batchnorm/add_1: 3d6dce75 add_5/add: 3df219fa block_3a_relu/Relu: 3e0e972d block_3b_conv_1/convolution: 3e952295 block_3b_bn_1/batchnorm/mul_1: 3d8af126 block_3b_bn_1/batchnorm/add_1: 3d96bf2f block_3b_relu_1/Relu: 3d7a87f1 block_3b_conv_2/convolution: 3e0eaf0b block_3b_bn_2/batchnorm/mul_1: 3dbdfb93 block_3b_bn_2/batchnorm/add_1: 3d9be1c2 block_3b_conv_shortcut/convolution: 3e57e3b5 block_3b_bn_shortcut/batchnorm/mul_1: 3dbccffe block_3b_bn_shortcut/batchnorm/add_1: 3dc4a11d add_6/add: 3e00a106 block_3b_relu/Relu: 3e00a106 block_4a_conv_1/convolution: 3e5147f9 block_4a_bn_1/batchnorm/mul_1: 3d61f7b3 block_4a_bn_1/batchnorm/add_1: 3d55516a block_4a_relu_1/Relu: 3d231f34 block_4a_conv_2/convolution: 3d801cc2 block_4a_bn_2/batchnorm/mul_1: 3d9d733b block_4a_bn_2/batchnorm/add_1: 3d884980 block_4a_conv_shortcut/convolution: 3dc97ecc block_4a_bn_shortcut/batchnorm/mul_1: 3d50eadc block_4a_bn_shortcut/batchnorm/add_1: 3d4d047e add_7/add: 3dba2f30 block_4a_relu/Relu: 3d8a191d block_4b_conv_1/convolution: 3dd39de9 block_4b_bn_1/batchnorm/mul_1: 3d84192f block_4b_bn_1/batchnorm/add_1: 3d7fa31a block_4b_relu_1/Relu: 3d3ade7a block_4b_conv_2/convolution: 3d12a4f3 block_4b_bn_2/batchnorm/mul_1: 3e6cb4e9 block_4b_bn_2/batchnorm/add_1: 3e6b4ac7 block_4b_conv_shortcut/convolution: 3cac290d block_4b_bn_shortcut/batchnorm/mul_1: 3df4459f block_4b_bn_shortcut/batchnorm/add_1: 3df63e8e add_8/add: 3e907e3f block_4b_relu/Relu: 3ea67dfb flatten/Reshape: 3ea67dfb predictions/MatMul: 3eb56bb4 predictions/BiasAdd: 3e98aaac predictions/Softmax: 3c010a14