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768×1×1〉float32[128]B〈128〉AddStatefulPartitionedCall/sequential/efficientnetb5/block4b_add/addConvStatefulPartitionedCall/sequential/efficientnetb5/block4c_expand_conv/Conv2Dfloat32[768,128,1,1]W〈768×128×1×1〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4c_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4c_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4c_dwconv/depthwisefloat32[768,1,3,3]W〈768×1×3×3〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4c_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4c_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_squeeze/Mean_Squeeze__3347int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_reduce/BiasAdd__803int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_reduce/BiasAddfloat32[32,768,1,1]W〈32×768×1×1〉float32[32]B〈32〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_expand/BiasAddfloat32[768,32,1,1]W〈768×32×1×1〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4c_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4c_project_conv/Conv2Dfloat32[128,768,1,1]W〈128×768×1×1〉float32[128]B〈128〉AddStatefulPartitionedCall/sequential/efficientnetb5/block4c_add/addConvStatefulPartitionedCall/sequential/efficientnetb5/block4d_expand_conv/Conv2Dfloat32[768,128,1,1]W〈768×128×1×1〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4d_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4d_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4d_dwconv/depthwisefloat32[768,1,3,3]W〈768×1×3×3〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4d_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4d_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_squeeze/Mean_Squeeze__3377int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_reduce/BiasAdd__854int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_reduce/BiasAddfloat32[32,768,1,1]W〈32×768×1×1〉float32[32]B〈32〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_expand/BiasAddfloat32[768,32,1,1]W〈768×32×1×1〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4d_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4d_project_conv/Conv2Dfloat32[128,768,1,1]W〈128×768×1×1〉float32[128]B〈128〉AddStatefulPartitionedCall/sequential/efficientnetb5/block4d_add/addConvStatefulPartitionedCall/sequential/efficientnetb5/block4e_expand_conv/Conv2Dfloat32[768,128,1,1]W〈768×128×1×1〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4e_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4e_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4e_dwconv/depthwisefloat32[768,1,3,3]W〈768×1×3×3〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4e_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4e_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_squeeze/Mean_Squeeze__3353int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_reduce/BiasAdd__905int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_reduce/BiasAddfloat32[32,768,1,1]W〈32×768×1×1〉float32[32]B〈32〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_expand/BiasAddfloat32[768,32,1,1]W〈768×32×1×1〉float32[768]B〈768〉SigmoidStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb5/block4e_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb5/block4e_project_conv/Conv2Dfloat32[128,768,1,1]W〈128×768×1×1〉float32[128]B〈1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84×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6d_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block6e_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6e_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6e_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6e_dwconv/depthwisefloat32[2304,1,5,5]W〈2304×1×5×5〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6e_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6e_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_squeeze/Mean_Squeeze__4766int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_reduce/BiasAdd__2176int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6e_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6e_project_conv/Conv2Dfloat32[384,2304,1,1]W〈384×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6e_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block6f_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6f_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6f_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6f_dwconv/depthwisefloat32[2304,1,5,5]W〈2304×1×5×5〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6f_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6f_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_squeeze/Mean_Squeeze__4684int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_reduce/BiasAdd__2227int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6f_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6f_project_conv/Conv2Dfloat32[384,2304,1,1]W〈384×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6f_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block6g_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6g_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6g_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6g_dwconv/depthwisefloat32[2304,1,5,5]W〈2304×1×5×5〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6g_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6g_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_squeeze/Mean_Squeeze__4714int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_reduce/BiasAdd__2278int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6g_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6g_project_conv/Co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etb7/block6j_project_conv/Conv2Dfloat32[384,2304,1,1]W〈384×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6j_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block6k_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6k_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6k_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6k_dwconv/depthwisefloat32[2304,1,5,5]W〈2304×1×5×5〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6k_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6k_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_squeeze/Mean_Squeeze__4730int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_reduce/BiasAdd__2482int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6k_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6k_project_conv/Conv2Dfloat32[384,2304,1,1]W〈384×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6k_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block6l_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6l_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6l_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6l_dwconv/depthwisefloat32[2304,1,5,5]W〈2304×1×5×5〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6l_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6l_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_squeeze/Mean_Squeeze__4764int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_reduce/BiasAdd__2533int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6l_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6l_project_conv/Conv2Dfloat32[384,2304,1,1]W〈384×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6l_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block6m_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6m_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6m_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6m_dwconv/depthwisefloat32[2304,1,5,5]W〈2304×1×5×5〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6m_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6m_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_squeeze/Mean_Squeeze__4768int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_reduce/BiasAdd__2584int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block6m_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block6m_project_conv/Conv2Dfloat32[384,2304,1,1]W〈384×2304×1×1〉float32[384]B〈384〉AddStatefulPartitionedCall/sequential/efficientnetb7/block6m_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block7a_expand_conv/Conv2Dfloat32[2304,384,1,1]W〈2304×384×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7a_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7a_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7a_dwconv/depthwisefloat32[2304,1,3,3]W〈2304×1×3×3〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7a_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7a_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_squeeze/Mean_Squeeze__4670int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_reduce/BiasAdd__2635int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_reduce/BiasAddfloat32[96,2304,1,1]W〈96×2304×1×1〉float32[96]B〈96〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_expand/BiasAddfloat32[2304,96,1,1]W〈2304×96×1×1〉float32[2304]B〈2304〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7a_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7a_project_conv/Conv2Dfloat32[640,2304,1,1]W〈640×2304×1×1〉float32[640]B〈640〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block7b_expand_conv/Conv2Dfloat32[3840,640,1,1]W〈3840×640×1×1〉BatchNormalizationStatefulPartitionedCall/sequential/efficientnetb7/block7b_expand_bn/FusedBatchNormV3float32[3840]scale〈3840〉float32[3840]B〈3840〉float32[3840]mean〈3840〉float32[3840]var〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7b_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7b_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7b_dwconv/depthwisefloat32[3840,1,3,3]W〈3840×1×3×3〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7b_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7b_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_squeeze/Mean_Squeeze__4772int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_reduce/BiasAdd__2686int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_reduce/BiasAddfloat32[160,3840,1,1]W〈160×3840×1×1〉float32[160]B〈160〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_expand/BiasAddfloat32[3840,160,1,1]W〈3840×160×1×1〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7b_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7b_project_conv/Conv2Dfloat32[640,3840,1,1]W〈640×3840×1×1〉float32[640]B〈640〉AddStatefulPartitionedCall/sequential/efficientnetb7/block7b_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block7c_expand_conv/Conv2Dfloat32[3840,640,1,1]W〈3840×640×1×1〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7c_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7c_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7c_dwconv/depthwisefloat32[3840,1,3,3]W〈3840×1×3×3〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7c_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7c_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_squeeze/Mean_Squeeze__4702int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_reduce/BiasAdd__2737int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_reduce/BiasAddfloat32[160,3840,1,1]W〈160×3840×1×1〉float32[160]B〈160〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_expand/BiasAddfloat32[3840,160,1,1]W〈3840×160×1×1〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7c_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7c_project_conv/Conv2Dfloat32[640,3840,1,1]W〈640×3840×1×1〉float32[640]B〈640〉AddStatefulPartitionedCall/sequential/efficientnetb7/block7c_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/block7d_expand_conv/Conv2Dfloat32[3840,640,1,1]W〈3840×640×1×1〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7d_expand_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7d_expand_activation/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7d_dwconv/depthwisefloat32[3840,1,3,3]W〈3840×1×3×3〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7d_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7d_activation/mulGlobalAveragePoolStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_squeeze/MeanSqueezeStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_squeeze/Mean_Squeeze__4678int64[2]axes〈2〉ReshapeStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_reduce/BiasAdd__2788int64[4]shape〈4〉ConvStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_reduce/BiasAddfloat32[160,3840,1,1]W〈160×3840×1×1〉float32[160]B〈160〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_reduce/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_reduce/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_expand/BiasAddfloat32[3840,160,1,1]W〈3840×160×1×1〉float32[3840]B〈3840〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_expand/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/block7d_se_excite/mulConvStatefulPartitionedCall/sequential/efficientnetb7/block7d_project_conv/Conv2Dfloat32[640,3840,1,1]W〈640×3840×1×1〉float32[640]B〈640〉AddStatefulPartitionedCall/sequential/efficientnetb7/block7d_add/addConvStatefulPartitionedCall/sequential/efficientnetb7/top_conv/Conv2Dfloat32[2560,640,1,1]W〈2560×640×1×1〉float32[2560]B〈2560〉SigmoidStatefulPartitionedCall/sequential/efficientnetb7/top_activation/SigmoidMulStatefulPartitionedCall/sequential/efficientnetb7/top_activation/mulTransposeTranspose__3653ReshapeStatefulPartitionedCall/sequential/top_flatten/Reshapeint64[2]shape〈2〉MatMulStatefulPartitionedCall/sequential/dense_500/MatMulfloat32[368640,500]B〈368640×500〉AddStatefulPartitionedCall/sequential/dense_500/BiasAddfloat32[500]B〈500〉ReluStatefulPartitionedCall/sequential/dense_500/ReluMatMulStatefulPartitionedCall/sequential/dense_256/MatMulfloat32[500,256]B〈500×256〉AddStatefulPartitionedCall/sequential/dense_256/BiasAddfloat32[256]B〈256〉ReluStatefulPartitionedCall/sequential/dense_256/ReluMatMulStatefulPartitionedCall/sequential/output_layer/MatMulfloat32[256,9]B〈256×9〉AddStatefulPartitionedCall/sequential/output_layer/BiasAddfloat32[9]B〈9〉SoftmaxStatefulPartitionedCall/sequential/output_layer/Softmaxefficientnetb7_input:0float32[unk__4778,380,380,3]output_layerfloat32[unk__4779,9] \ No newline at end of file diff --git a/Model Visualisation/Model2_EffB4_No_meta.hdf5.svg b/Model Visualisation/Model2_EffB4_No_meta.hdf5.svg new file mode 100644 index 0000000..6c59eef --- /dev/null +++ b/Model Visualisation/Model2_EffB4_No_meta.hdf5.svg @@ -0,0 +1 @@ +InputLayerefficientnetb4_inputRescalingefficientnetb4/rescalingNormalizationefficientnetb4/normalizationfloat32[3]mean〈3〉float32[3]variance〈3〉int64[]count = 0ZeroPadding2Defficientnetb4/stem_conv_padConv2Defficientnetb4/stem_convfloat32[3,3,3,48]kernel〈3×3×3×48〉BatchNormalizationefficientnetb4/stem_bnfloat32[48]gamma〈48〉float32[48]beta〈48〉float32[48]moving_mean〈48〉float32[48]moving_variance〈48〉Activationefficientnetb4/stem_activationswishDepthwiseConv2Defficientnetb4/block1a_dwconvfloat32[3,3,48,1]kernel〈3×3×48×1〉BatchNormalizationefficientnetb4/block1a_bnfloat32[48]gamma〈48〉float32[48]beta〈48〉float32[48]moving_mean〈48〉float32[48]moving_variance〈48〉Activationefficientnetb4/block1a_activationswishGlobalAveragePooling2Defficientnetb4/block1a_se_squeezeReshapeefficientnetb4/block1a_se_reshapeConv2Defficientnetb4/block1a_se_reducefloat32[1,1,48,12]kernel〈1×1×48×12〉float32[12]bias〈12〉swishConv2Defficientnetb4/block1a_se_expandfloat32[1,1,12,48]kernel〈1×1×12×48〉float32[48]bias〈48〉SigmoidMultiplyefficientnetb4/block1a_se_exciteConv2Defficientnetb4/block1a_project_convfloat32[1,1,48,24]kernel〈1×1×48×24〉BatchNormalizationefficientnetb4/block1a_project_bnfloat32[24]gamma〈24〉float32[24]beta〈24〉float32[24]moving_mean〈24〉float32[24]moving_variance〈24〉DepthwiseConv2Defficientnetb4/block1b_dwconvfloat32[3,3,24,1]kernel〈3×3×24×1〉BatchNormalizationefficientnetb4/block1b_bnfloat32[24]gamma〈24〉float32[24]beta〈24〉float32[24]moving_mean〈24〉float32[24]moving_variance〈24〉Activationefficientnetb4/block1b_activationswishGlobalAveragePooling2Defficientnetb4/block1b_se_squeezeReshapeefficientnetb4/block1b_se_reshapeConv2Defficientnetb4/block1b_se_reducefloat32[1,1,24,6]kernel〈1×1×24×6〉float32[6]bias〈6〉swishConv2Defficientnetb4/block1b_se_expandfloat32[1,1,6,24]kernel〈1×1×6×24〉float32[24]bias〈24〉SigmoidMultiplyefficientnetb4/block1b_se_exciteConv2Defficientnetb4/block1b_project_convfloat32[1,1,24,24]kernel〈1×1×24×24〉BatchNormalizationefficientnetb4/block1b_project_bnfloat32[24]gamma〈24〉float32[24]beta〈24〉float32[24]moving_mean〈24〉float32[24]moving_variance〈24〉Dropoutefficientnetb4/block1b_dropAddefficientnetb4/block1b_addConv2Defficientnetb4/block2a_expand_convfloat32[1,1,24,144]kernel〈1×1×24×144〉BatchNormalizationefficientnetb4/block2a_expand_bnfloat32[144]gamma〈144〉float32[144]beta〈144〉float32[144]moving_mean〈144〉float32[144]moving_variance〈144〉Activationefficientnetb4/block2a_expand_activationswishZeroPadding2Defficientnetb4/block2a_dwconv_padDepthwiseConv2Defficientnetb4/block2a_dwconvfloat32[3,3,144,1]kernel〈3×3×144×1〉BatchNormalizationefficientnetb4/block2a_bnfloat32[144]gamma〈144〉float32[144]beta〈144〉float32[144]moving_mean〈144〉float32[144]moving_variance〈144〉Activationefficientnetb4/block2a_activationswishGlobalAveragePooling2Defficientnetb4/block2a_se_squeezeReshapeefficientnetb4/block2a_se_reshapeConv2Defficientnetb4/block2a_se_reducefloat32[1,1,144,6]kernel〈1×1×144×6〉float32[6]bias〈6〉swishConv2Defficientnetb4/block2a_se_expandfloat32[1,1,6,144]kernel〈1×1×6×144〉float32[144]bias〈144〉SigmoidMultiplyefficientnetb4/block2a_se_exciteConv2Defficientnetb4/block2a_project_convfloat32[1,1,144,32]kernel〈1×1×144×32〉BatchNormalizationefficientnetb4/block2a_project_bnfloat32[32]gamma〈32〉float32[32]beta〈32〉float32[32]moving_mean〈32〉float32[32]moving_variance〈32〉Conv2Defficientnetb4/block2b_expand_convfloat32[1,1,32,192]kernel〈1×1×32×192〉BatchNormalizationefficientnetb4/block2b_expand_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block2b_expand_activationswishDepthwiseConv2Defficientnetb4/block2b_dwconvfloat32[3,3,192,1]kernel〈3×3×192×1〉BatchNormalizationefficientnetb4/block2b_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block2b_activationswishGlobalAveragePooling2Defficientnetb4/block2b_se_squeezeReshapeefficientnetb4/block2b_se_reshapeConv2Defficientnetb4/block2b_se_reducefloat32[1,1,192,8]kernel〈1×1×192×8〉float32[8]bias〈8〉swishConv2Defficientnetb4/block2b_se_expandfloat32[1,1,8,192]kernel〈1×1×8×192〉float32[192]bias〈192〉SigmoidMultiplyefficientnetb4/block2b_se_exciteConv2Defficientnetb4/block2b_project_convfloat32[1,1,192,32]kernel〈1×1×192×32〉BatchNormalizationefficientnetb4/block2b_project_bnfloat32[32]gamma〈32〉float32[32]beta〈32〉float32[32]moving_mean〈32〉float32[32]moving_variance〈32〉Dropoutefficientnetb4/block2b_dropAddefficientnetb4/block2b_addConv2Defficientnetb4/block2c_expand_convfloat32[1,1,32,192]kernel〈1×1×32×192〉BatchNormalizationefficientnetb4/block2c_expand_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block2c_expand_activationswishDepthwiseConv2Defficientnetb4/block2c_dwconvfloat32[3,3,192,1]kernel〈3×3×192×1〉BatchNormalizationefficientnetb4/block2c_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block2c_activationswishGlobalAveragePooling2Defficientnetb4/block2c_se_squeezeReshapeefficientnetb4/block2c_se_reshapeConv2Defficientnetb4/block2c_se_reducefloat32[1,1,192,8]kernel〈1×1×192×8〉float32[8]bias〈8〉swishConv2Defficientnetb4/block2c_se_expandfloat32[1,1,8,192]kernel〈1×1×8×192〉float32[192]bias〈192〉SigmoidMultiplyefficientnetb4/block2c_se_exciteConv2Defficientnetb4/block2c_project_convfloat32[1,1,192,32]kernel〈1×1×192×32〉BatchNormalizationefficientnetb4/block2c_project_bnfloat32[32]gamma〈32〉float32[32]beta〈32〉float32[32]moving_mean〈32〉float32[32]moving_variance〈32〉Dropoutefficientnetb4/block2c_dropAddefficientnetb4/block2c_addConv2Defficientnetb4/block2d_expand_convfloat32[1,1,32,192]kernel〈1×1×32×192〉BatchNormalizationefficientnetb4/block2d_expand_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block2d_expand_activationswishDepthwiseConv2Defficientnetb4/block2d_dwconvfloat32[3,3,192,1]kernel〈3×3×192×1〉BatchNormalizationefficientnetb4/block2d_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block2d_activationswishGlobalAveragePooling2Defficientnetb4/block2d_se_squeezeReshapeefficientnetb4/block2d_se_reshapeConv2Defficientnetb4/block2d_se_reducefloat32[1,1,192,8]kernel〈1×1×192×8〉float32[8]bias〈8〉swishConv2Defficientnetb4/block2d_se_expandfloat32[1,1,8,192]kernel〈1×1×8×192〉float32[192]bias〈192〉SigmoidMultiplyefficientnetb4/block2d_se_exciteConv2Defficientnetb4/block2d_project_convfloat32[1,1,192,32]kernel〈1×1×192×32〉BatchNormalizationefficientnetb4/block2d_project_bnfloat32[32]gamma〈32〉float32[32]beta〈32〉float32[32]moving_mean〈32〉float32[32]moving_variance〈32〉Dropoutefficientnetb4/block2d_dropAddefficientnetb4/block2d_addConv2Defficientnetb4/block3a_expand_convfloat32[1,1,32,192]kernel〈1×1×32×192〉BatchNormalizationefficientnetb4/block3a_expand_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block3a_expand_activationswishZeroPadding2Defficientnetb4/block3a_dwconv_padDepthwiseConv2Defficientnetb4/block3a_dwconvfloat32[5,5,192,1]kernel〈5×5×192×1〉BatchNormalizationefficientnetb4/block3a_bnfloat32[192]gamma〈192〉float32[192]beta〈192〉float32[192]moving_mean〈192〉float32[192]moving_variance〈192〉Activationefficientnetb4/block3a_activationswishGlobalAveragePooling2Defficientnetb4/block3a_se_squeezeReshapeefficientnetb4/block3a_se_reshapeConv2Defficientnetb4/block3a_se_reducefloat32[1,1,192,8]kernel〈1×1×192×8〉float32[8]bias〈8〉swishConv2Defficientnetb4/block3a_se_expandfloat32[1,1,8,192]kernel〈1×1×8×192〉float32[192]bias〈192〉SigmoidMultiplyefficientnetb4/block3a_se_exciteConv2Defficientnetb4/block3a_project_convfloat32[1,1,192,56]kernel〈1×1×192×56〉BatchNormalizationefficientnetb4/block3a_project_bnfloat32[56]gamma〈56〉float32[56]beta〈56〉float32[56]moving_mean〈56〉float32[56]moving_variance〈56〉Conv2Defficientnetb4/block3b_expand_convfloat32[1,1,56,336]kernel〈1×1×56×336〉BatchNormalizationefficientnetb4/block3b_expand_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block3b_expand_activationswishDepthwiseConv2Defficientnetb4/block3b_dwconvfloat32[5,5,336,1]kernel〈5×5×336×1〉BatchNormalizationefficientnetb4/block3b_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block3b_activationswishGlobalAveragePooling2Defficientnetb4/block3b_se_squeezeReshapeefficientnetb4/block3b_se_reshapeConv2Defficientnetb4/block3b_se_reducefloat32[1,1,336,14]kernel〈1×1×336×14〉float32[14]bias〈14〉swishConv2Defficientnetb4/block3b_se_expandfloat32[1,1,14,336]kernel〈1×1×14×336〉float32[336]bias〈336〉SigmoidMultiplyefficientnetb4/block3b_se_exciteConv2Defficientnetb4/block3b_project_convfloat32[1,1,336,56]kernel〈1×1×336×56〉BatchNormalizationefficientnetb4/block3b_project_bnfloat32[56]gamma〈56〉float32[56]beta〈56〉float32[56]moving_mean〈56〉float32[56]moving_variance〈56〉Dropoutefficientnetb4/block3b_dropAddefficientnetb4/block3b_addConv2Defficientnetb4/block3c_expand_convfloat32[1,1,56,336]kernel〈1×1×56×336〉BatchNormalizationefficientnetb4/block3c_expand_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block3c_expand_activationswishDepthwiseConv2Defficientnetb4/block3c_dwconvfloat32[5,5,336,1]kernel〈5×5×336×1〉BatchNormalizationefficientnetb4/block3c_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block3c_activationswishGlobalAveragePooling2Defficientnetb4/block3c_se_squeezeReshapeefficientnetb4/block3c_se_reshapeConv2Defficientnetb4/block3c_se_reducefloat32[1,1,336,14]kernel〈1×1×336×14〉float32[14]bias〈14〉swishConv2Defficientnetb4/block3c_se_expandfloat32[1,1,14,336]kernel〈1×1×14×336〉float32[336]bias〈336〉SigmoidMultiplyefficientnetb4/block3c_se_exciteConv2Defficientnetb4/block3c_project_convfloat32[1,1,336,56]kernel〈1×1×336×56〉BatchNormalizationefficientnetb4/block3c_project_bnfloat32[56]gamma〈56〉float32[56]beta〈56〉float32[56]moving_mean〈56〉float32[56]moving_variance〈56〉Dropoutefficientnetb4/block3c_dropAddefficientnetb4/block3c_addConv2Defficientnetb4/block3d_expand_convfloat32[1,1,56,336]kernel〈1×1×56×336〉BatchNormalizationefficientnetb4/block3d_expand_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block3d_expand_activationswishDepthwiseConv2Defficientnetb4/block3d_dwconvfloat32[5,5,336,1]kernel〈5×5×336×1〉BatchNormalizationefficientnetb4/block3d_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block3d_activationswishGlobalAveragePooling2Defficientnetb4/block3d_se_squeezeReshapeefficientnetb4/block3d_se_reshapeConv2Defficientnetb4/block3d_se_reducefloat32[1,1,336,14]kernel〈1×1×336×14〉float32[14]bias〈14〉swishConv2Defficientnetb4/block3d_se_expandfloat32[1,1,14,336]kernel〈1×1×14×336〉float32[336]bias〈336〉SigmoidMultiplyefficientnetb4/block3d_se_exciteConv2Defficientnetb4/block3d_project_convfloat32[1,1,336,56]kernel〈1×1×336×56〉BatchNormalizationefficientnetb4/block3d_project_bnfloat32[56]gamma〈56〉float32[56]beta〈56〉float32[56]moving_mean〈56〉float32[56]moving_variance〈56〉Dropoutefficientnetb4/block3d_dropAddefficientnetb4/block3d_addConv2Defficientnetb4/block4a_expand_convfloat32[1,1,56,336]kernel〈1×1×56×336〉BatchNormalizationefficientnetb4/block4a_expand_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block4a_expand_activationswishZeroPadding2Defficientnetb4/block4a_dwconv_padDepthwiseConv2Defficientnetb4/block4a_dwconvfloat32[3,3,336,1]kernel〈3×3×336×1〉BatchNormalizationefficientnetb4/block4a_bnfloat32[336]gamma〈336〉float32[336]beta〈336〉float32[336]moving_mean〈336〉float32[336]moving_variance〈336〉Activationefficientnetb4/block4a_activationswishGlobalAveragePooling2Defficientnetb4/block4a_se_squeezeReshapeefficientnetb4/block4a_se_reshapeConv2Defficientnetb4/block4a_se_reducefloat32[1,1,336,14]kernel〈1×1×336×14〉float32[14]bias〈14〉swishConv2Defficientnetb4/block4a_se_expandfloat32[1,1,14,336]kernel〈1×1×14×336〉float32[336]bias〈336〉SigmoidMultiplyefficientnetb4/block4a_se_exciteConv2Defficientnetb4/block4a_project_convfloat32[1,1,336,112]kernel〈1×1×336×112〉BatchNormalizationefficientnetb4/block4a_project_bnfloat32[112]gamma〈112〉float32[112]beta〈112〉float32[112]moving_mean〈112〉float32[112]moving_variance〈112〉Conv2Defficientnetb4/block4b_expand_convfloat32[1,1,112,672]kernel〈1×1×112×672〉BatchNormalizationefficientnetb4/block4b_expand_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4b_expand_activationswishDepthwiseConv2Defficientnetb4/block4b_dwconvfloat32[3,3,672,1]kernel〈3×3×672×1〉BatchNormalizationefficientnetb4/block4b_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4b_activationswishGlobalAveragePooling2Defficientnetb4/block4b_se_squeezeReshapeefficientnetb4/block4b_se_reshapeConv2Defficientnetb4/block4b_se_reducefloat32[1,1,672,28]kernel〈1×1×672×28〉float32[28]bias〈28〉swishConv2Defficientnetb4/block4b_se_expandfloat32[1,1,28,672]kernel〈1×1×28×672〉float32[672]bias〈672〉SigmoidMultiplyefficientnetb4/block4b_se_exciteConv2Defficientnetb4/block4b_project_convfloat32[1,1,672,112]kernel〈1×1×672×112〉BatchNormalizationefficientnetb4/block4b_project_bnfloat32[112]gamma〈112〉float32[112]beta〈112〉float32[112]moving_mean〈112〉float32[112]moving_variance〈112〉Dropoutefficientnetb4/block4b_dropAddefficientnetb4/block4b_addConv2Defficientnetb4/block4c_expand_convfloat32[1,1,112,672]kernel〈1×1×112×672〉BatchNormalizationefficientnetb4/block4c_expand_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4c_expand_activationswishDepthwiseConv2Defficientnetb4/block4c_dwconvfloat32[3,3,672,1]kernel〈3×3×672×1〉BatchNormalizationefficientnetb4/block4c_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4c_activationswishGlobalAveragePooling2Defficientnetb4/block4c_se_squeezeReshapeefficientnetb4/block4c_se_reshapeConv2Defficientnetb4/block4c_se_reducefloat32[1,1,672,28]kernel〈1×1×672×28〉float32[28]bias〈28〉swishConv2Defficientnetb4/block4c_se_expandfloat32[1,1,28,672]kernel〈1×1×28×672〉float32[672]bias〈672〉SigmoidMultiplyefficientnetb4/block4c_se_exciteConv2Defficientnetb4/block4c_project_convfloat32[1,1,672,112]kernel〈1×1×672×112〉BatchNormalizationefficientnetb4/block4c_project_bnfloat32[112]gamma〈112〉float32[112]beta〈112〉float32[112]moving_mean〈112〉float32[112]moving_variance〈112〉Dropoutefficientnetb4/block4c_dropAddefficientnetb4/block4c_addConv2Defficientnetb4/block4d_expand_convfloat32[1,1,112,672]kernel〈1×1×112×672〉BatchNormalizationefficientnetb4/block4d_expand_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4d_expand_activationswishDepthwiseConv2Defficientnetb4/block4d_dwconvfloat32[3,3,672,1]kernel〈3×3×672×1〉BatchNormalizationefficientnetb4/block4d_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4d_activationswishGlobalAveragePooling2Defficientnetb4/block4d_se_squeezeReshapeefficientnetb4/block4d_se_reshapeConv2Defficientnetb4/block4d_se_reducefloat32[1,1,672,28]kernel〈1×1×672×28〉float32[28]bias〈28〉swishConv2Defficientnetb4/block4d_se_expandfloat32[1,1,28,672]kernel〈1×1×28×672〉float32[672]bias〈672〉SigmoidMultiplyefficientnetb4/block4d_se_exciteConv2Defficientnetb4/block4d_project_convfloat32[1,1,672,112]kernel〈1×1×672×112〉BatchNormalizationefficientnetb4/block4d_project_bnfloat32[112]gamma〈112〉float32[112]beta〈112〉float32[112]moving_mean〈112〉float32[112]moving_variance〈112〉Dropoutefficientnetb4/block4d_dropAddefficientnetb4/block4d_addConv2Defficientnetb4/block4e_expand_convfloat32[1,1,112,672]kernel〈1×1×112×672〉BatchNormalizationefficientnetb4/block4e_expand_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4e_expand_activationswishDepthwiseConv2Defficientnetb4/block4e_dwconvfloat32[3,3,672,1]kernel〈3×3×672×1〉BatchNormalizationefficientnetb4/block4e_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4e_activationswishGlobalAveragePooling2Defficientnetb4/block4e_se_squeezeReshapeefficientnetb4/block4e_se_reshapeConv2Defficientnetb4/block4e_se_reducefloat32[1,1,672,28]kernel〈1×1×672×28〉float32[28]bias〈28〉swishConv2Defficientnetb4/block4e_se_expandfloat32[1,1,28,672]kernel〈1×1×28×672〉float32[672]bias〈672〉SigmoidMultiplyefficientnetb4/block4e_se_exciteConv2Defficientnetb4/block4e_project_convfloat32[1,1,672,112]kernel〈1×1×672×112〉BatchNormalizationefficientnetb4/block4e_project_bnfloat32[112]gamma〈112〉float32[112]beta〈112〉float32[112]moving_mean〈112〉float32[112]moving_variance〈112〉Dropoutefficientnetb4/block4e_dropAddefficientnetb4/block4e_addConv2Defficientnetb4/block4f_expand_convfloat32[1,1,112,672]kernel〈1×1×112×672〉BatchNormalizationefficientnetb4/block4f_expand_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4f_expand_activationswishDepthwiseConv2Defficientnetb4/block4f_dwconvfloat32[3,3,672,1]kernel〈3×3×672×1〉BatchNormalizationefficientnetb4/block4f_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block4f_activationswishGlobalAveragePooling2Defficientnetb4/block4f_se_squeezeReshapeefficientnetb4/block4f_se_reshapeConv2Defficientnetb4/block4f_se_reducefloat32[1,1,672,28]kernel〈1×1×672×28〉float32[28]bias〈28〉swishConv2Defficientnetb4/block4f_se_expandfloat32[1,1,28,672]kernel〈1×1×28×672〉float32[672]bias〈672〉SigmoidMultiplyefficientnetb4/block4f_se_exciteConv2Defficientnetb4/block4f_project_convfloat32[1,1,672,112]kernel〈1×1×672×112〉BatchNormalizationefficientnetb4/block4f_project_bnfloat32[112]gamma〈112〉float32[112]beta〈112〉float32[112]moving_mean〈112〉float32[112]moving_variance〈112〉Dropoutefficientnetb4/block4f_dropAddefficientnetb4/block4f_addConv2Defficientnetb4/block5a_expand_convfloat32[1,1,112,672]kernel〈1×1×112×672〉BatchNormalizationefficientnetb4/block5a_expand_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block5a_expand_activationswishDepthwiseConv2Defficientnetb4/block5a_dwconvfloat32[5,5,672,1]kernel〈5×5×672×1〉BatchNormalizationefficientnetb4/block5a_bnfloat32[672]gamma〈672〉float32[672]beta〈672〉float32[672]moving_mean〈672〉float32[672]moving_variance〈672〉Activationefficientnetb4/block5a_activationswishGlobalAveragePooling2Defficientnetb4/block5a_se_squeezeReshapeefficientnetb4/block5a_se_reshapeConv2Defficientnetb4/block5a_se_reducefloat32[1,1,672,28]kernel〈1×1×672×28〉float32[28]bias〈28〉swishConv2Defficientnetb4/block5a_se_expandfloat32[1,1,28,672]kernel〈1×1×28×672〉float32[672]bias〈672〉SigmoidMultiplyefficientnetb4/block5a_se_exciteConv2Defficientnetb4/block5a_project_convfloat32[1,1,672,160]kernel〈1×1×672×160〉BatchNormalizationefficientnetb4/block5a_project_bnfloat32[160]gamma〈160〉float32[160]beta〈160〉float32[160]moving_mean〈160〉float32[160]moving_variance〈160〉Conv2Defficientnetb4/block5b_expand_convfloat32[1,1,160,960]kernel〈1×1×160×960〉BatchNormalizationefficientnetb4/block5b_expand_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5b_expand_activationswishDepthwiseConv2Defficientnetb4/block5b_dwconvfloat32[5,5,960,1]kernel〈5×5×960×1〉BatchNormalizationefficientnetb4/block5b_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5b_activationswishGlobalAveragePooling2Defficientnetb4/block5b_se_squeezeReshapeefficientnetb4/block5b_se_reshapeConv2Defficientnetb4/block5b_se_reducefloat32[1,1,960,40]kernel〈1×1×960×40〉float32[40]bias〈40〉swishConv2Defficientnetb4/block5b_se_expandfloat32[1,1,40,960]kernel〈1×1×40×960〉float32[960]bias〈960〉SigmoidMultiplyefficientnetb4/block5b_se_exciteConv2Defficientnetb4/block5b_project_convfloat32[1,1,960,160]kernel〈1×1×960×160〉BatchNormalizationefficientnetb4/block5b_project_bnfloat32[160]gamma〈160〉float32[160]beta〈160〉float32[160]moving_mean〈160〉float32[160]moving_variance〈160〉Dropoutefficientnetb4/block5b_dropAddefficientnetb4/block5b_addConv2Defficientnetb4/block5c_expand_convfloat32[1,1,160,960]kernel〈1×1×160×960〉BatchNormalizationefficientnetb4/block5c_expand_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5c_expand_activationswishDepthwiseConv2Defficientnetb4/block5c_dwconvfloat32[5,5,960,1]kernel〈5×5×960×1〉BatchNormalizationefficientnetb4/block5c_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5c_activationswishGlobalAveragePooling2Defficientnetb4/block5c_se_squeezeReshapeefficientnetb4/block5c_se_reshapeConv2Defficientnetb4/block5c_se_reducefloat32[1,1,960,40]kernel〈1×1×960×40〉float32[40]bias〈40〉swishConv2Defficientnetb4/block5c_se_expandfloat32[1,1,40,960]kernel〈1×1×40×960〉float32[960]bias〈960〉SigmoidMultiplyefficientnetb4/block5c_se_exciteConv2Defficientnetb4/block5c_project_convfloat32[1,1,960,160]kernel〈1×1×960×160〉BatchNormalizationefficientnetb4/block5c_project_bnfloat32[160]gamma〈160〉float32[160]beta〈160〉float32[160]moving_mean〈160〉float32[160]moving_variance〈160〉Dropoutefficientnetb4/block5c_dropAddefficientnetb4/block5c_addConv2Defficientnetb4/block5d_expand_convfloat32[1,1,160,960]kernel〈1×1×160×960〉BatchNormalizationefficientnetb4/block5d_expand_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5d_expand_activationswishDepthwiseConv2Defficientnetb4/block5d_dwconvfloat32[5,5,960,1]kernel〈5×5×960×1〉BatchNormalizationefficientnetb4/block5d_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5d_activationswishGlobalAveragePooling2Defficientnetb4/block5d_se_squeezeReshapeefficientnetb4/block5d_se_reshapeConv2Defficientnetb4/block5d_se_reducefloat32[1,1,960,40]kernel〈1×1×960×40〉float32[40]bias〈40〉swishConv2Defficientnetb4/block5d_se_expandfloat32[1,1,40,960]kernel〈1×1×40×960〉float32[960]bias〈960〉SigmoidMultiplyefficientnetb4/block5d_se_exciteConv2Defficientnetb4/block5d_project_convfloat32[1,1,960,160]kernel〈1×1×960×160〉BatchNormalizationefficientnetb4/block5d_project_bnfloat32[160]gamma〈160〉float32[160]beta〈160〉float32[160]moving_mean〈160〉float32[160]moving_variance〈160〉Dropoutefficientnetb4/block5d_dropAddefficientnetb4/block5d_addConv2Defficientnetb4/block5e_expand_convfloat32[1,1,160,960]kernel〈1×1×160×960〉BatchNormalizationefficientnetb4/block5e_expand_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5e_expand_activationswishDepthwiseConv2Defficientnetb4/block5e_dwconvfloat32[5,5,960,1]kernel〈5×5×960×1〉BatchNormalizationefficientnetb4/block5e_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5e_activationswishGlobalAveragePooling2Defficientnetb4/block5e_se_squeezeReshapeefficientnetb4/block5e_se_reshapeConv2Defficientnetb4/block5e_se_reducefloat32[1,1,960,40]kernel〈1×1×960×40〉float32[40]bias〈40〉swishConv2Defficientnetb4/block5e_se_expandfloat32[1,1,40,960]kernel〈1×1×40×960〉float32[960]bias〈960〉SigmoidMultiplyefficientnetb4/block5e_se_exciteConv2Defficientnetb4/block5e_project_convfloat32[1,1,960,160]kernel〈1×1×960×160〉BatchNormalizationefficientnetb4/block5e_project_bnfloat32[160]gamma〈160〉float32[160]beta〈160〉float32[160]moving_mean〈160〉float32[160]moving_variance〈160〉Dropoutefficientnetb4/block5e_dropAddefficientnetb4/block5e_addConv2Defficientnetb4/block5f_expand_convfloat32[1,1,160,960]kernel〈1×1×160×960〉BatchNormalizationefficientnetb4/block5f_expand_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5f_expand_activationswishDepthwiseConv2Defficientnetb4/block5f_dwconvfloat32[5,5,960,1]kernel〈5×5×960×1〉BatchNormalizationefficientnetb4/block5f_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block5f_activationswishGlobalAveragePooling2Defficientnetb4/block5f_se_squeezeReshapeefficientnetb4/block5f_se_reshapeConv2Defficientnetb4/block5f_se_reducefloat32[1,1,960,40]kernel〈1×1×960×40〉float32[40]bias〈40〉swishConv2Defficientnetb4/block5f_se_expandfloat32[1,1,40,960]kernel〈1×1×40×960〉float32[960]bias〈960〉SigmoidMultiplyefficientnetb4/block5f_se_exciteConv2Defficientnetb4/block5f_project_convfloat32[1,1,960,160]kernel〈1×1×960×160〉BatchNormalizationefficientnetb4/block5f_project_bnfloat32[160]gamma〈160〉float32[160]beta〈160〉float32[160]moving_mean〈160〉float32[160]moving_variance〈160〉Dropoutefficientnetb4/block5f_dropAddefficientnetb4/block5f_addConv2Defficientnetb4/block6a_expand_convfloat32[1,1,160,960]kernel〈1×1×160×960〉BatchNormalizationefficientnetb4/block6a_expand_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block6a_expand_activationswishZeroPadding2Defficientnetb4/block6a_dwconv_padDepthwiseConv2Defficientnetb4/block6a_dwconvfloat32[5,5,960,1]kernel〈5×5×960×1〉BatchNormalizationefficientnetb4/block6a_bnfloat32[960]gamma〈960〉float32[960]beta〈960〉float32[960]moving_mean〈960〉float32[960]moving_variance〈960〉Activationefficientnetb4/block6a_activationswishGlobalAveragePooling2Defficientnetb4/block6a_se_squeezeReshapeefficientnetb4/block6a_se_reshapeConv2Defficientnetb4/block6a_se_reducefloat32[1,1,960,40]kernel〈1×1×960×40〉float32[40]bias〈40〉swishConv2Defficientnetb4/block6a_se_expandfloat32[1,1,40,960]kernel〈1×1×40×960〉float32[960]bias〈960〉SigmoidMultiplyefficientnetb4/block6a_se_exciteConv2Defficientnetb4/block6a_project_convfloat32[1,1,960,272]kernel〈1×1×960×272〉BatchNormalizationefficientnetb4/block6a_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Conv2Defficientnetb4/block6b_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6b_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6b_expand_activationswishDepthwiseConv2Defficientnetb4/block6b_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6b_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6b_activationswishGlobalAveragePooling2Defficientnetb4/block6b_se_squeezeReshapeefficientnetb4/block6b_se_reshapeConv2Defficientnetb4/block6b_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6b_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6b_se_exciteConv2Defficientnetb4/block6b_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6b_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6b_dropAddefficientnetb4/block6b_addConv2Defficientnetb4/block6c_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6c_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6c_expand_activationswishDepthwiseConv2Defficientnetb4/block6c_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6c_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6c_activationswishGlobalAveragePooling2Defficientnetb4/block6c_se_squeezeReshapeefficientnetb4/block6c_se_reshapeConv2Defficientnetb4/block6c_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6c_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6c_se_exciteConv2Defficientnetb4/block6c_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6c_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6c_dropAddefficientnetb4/block6c_addConv2Defficientnetb4/block6d_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6d_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6d_expand_activationswishDepthwiseConv2Defficientnetb4/block6d_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6d_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6d_activationswishGlobalAveragePooling2Defficientnetb4/block6d_se_squeezeReshapeefficientnetb4/block6d_se_reshapeConv2Defficientnetb4/block6d_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6d_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6d_se_exciteConv2Defficientnetb4/block6d_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6d_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6d_dropAddefficientnetb4/block6d_addConv2Defficientnetb4/block6e_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6e_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6e_expand_activationswishDepthwiseConv2Defficientnetb4/block6e_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6e_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6e_activationswishGlobalAveragePooling2Defficientnetb4/block6e_se_squeezeReshapeefficientnetb4/block6e_se_reshapeConv2Defficientnetb4/block6e_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6e_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6e_se_exciteConv2Defficientnetb4/block6e_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6e_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6e_dropAddefficientnetb4/block6e_addConv2Defficientnetb4/block6f_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6f_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6f_expand_activationswishDepthwiseConv2Defficientnetb4/block6f_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6f_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6f_activationswishGlobalAveragePooling2Defficientnetb4/block6f_se_squeezeReshapeefficientnetb4/block6f_se_reshapeConv2Defficientnetb4/block6f_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6f_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6f_se_exciteConv2Defficientnetb4/block6f_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6f_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6f_dropAddefficientnetb4/block6f_addConv2Defficientnetb4/block6g_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6g_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6g_expand_activationswishDepthwiseConv2Defficientnetb4/block6g_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6g_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6g_activationswishGlobalAveragePooling2Defficientnetb4/block6g_se_squeezeReshapeefficientnetb4/block6g_se_reshapeConv2Defficientnetb4/block6g_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6g_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6g_se_exciteConv2Defficientnetb4/block6g_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6g_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6g_dropAddefficientnetb4/block6g_addConv2Defficientnetb4/block6h_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block6h_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6h_expand_activationswishDepthwiseConv2Defficientnetb4/block6h_dwconvfloat32[5,5,1632,1]kernel〈5×5×1632×1〉BatchNormalizationefficientnetb4/block6h_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block6h_activationswishGlobalAveragePooling2Defficientnetb4/block6h_se_squeezeReshapeefficientnetb4/block6h_se_reshapeConv2Defficientnetb4/block6h_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block6h_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block6h_se_exciteConv2Defficientnetb4/block6h_project_convfloat32[1,1,1632,272]kernel〈1×1×1632×272〉BatchNormalizationefficientnetb4/block6h_project_bnfloat32[272]gamma〈272〉float32[272]beta〈272〉float32[272]moving_mean〈272〉float32[272]moving_variance〈272〉Dropoutefficientnetb4/block6h_dropAddefficientnetb4/block6h_addConv2Defficientnetb4/block7a_expand_convfloat32[1,1,272,1632]kernel〈1×1×272×1632〉BatchNormalizationefficientnetb4/block7a_expand_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block7a_expand_activationswishDepthwiseConv2Defficientnetb4/block7a_dwconvfloat32[3,3,1632,1]kernel〈3×3×1632×1〉BatchNormalizationefficientnetb4/block7a_bnfloat32[1632]gamma〈1632〉float32[1632]beta〈1632〉float32[1632]moving_mean〈1632〉float32[1632]moving_variance〈1632〉Activationefficientnetb4/block7a_activationswishGlobalAveragePooling2Defficientnetb4/block7a_se_squeezeReshapeefficientnetb4/block7a_se_reshapeConv2Defficientnetb4/block7a_se_reducefloat32[1,1,1632,68]kernel〈1×1×1632×68〉float32[68]bias〈68〉swishConv2Defficientnetb4/block7a_se_expandfloat32[1,1,68,1632]kernel〈1×1×68×1632〉float32[1632]bias〈1632〉SigmoidMultiplyefficientnetb4/block7a_se_exciteConv2Defficientnetb4/block7a_project_convfloat32[1,1,1632,448]kernel〈1×1×1632×448〉BatchNormalizationefficientnetb4/block7a_project_bnfloat32[448]gamma〈448〉float32[448]beta〈448〉float32[448]moving_mean〈448〉float32[448]moving_variance〈448〉Conv2Defficientnetb4/block7b_expand_convfloat32[1,1,448,2688]kernel〈1×1×448×2688〉BatchNormalizationefficientnetb4/block7b_expand_bnfloat32[2688]gamma〈2688〉float32[2688]beta〈2688〉float32[2688]moving_mean〈2688〉float32[2688]moving_variance〈2688〉Activationefficientnetb4/block7b_expand_activationswishDepthwiseConv2Defficientnetb4/block7b_dwconvfloat32[3,3,2688,1]kernel〈3×3×2688×1〉BatchNormalizationefficientnetb4/block7b_bnfloat32[2688]gamma〈2688〉float32[2688]beta〈2688〉float32[2688]moving_mean〈2688〉float32[2688]moving_variance〈2688〉Activationefficientnetb4/block7b_activationswishGlobalAveragePooling2Defficientnetb4/block7b_se_squeezeReshapeefficientnetb4/block7b_se_reshapeConv2Defficientnetb4/block7b_se_reducefloat32[1,1,2688,112]kernel〈1×1×2688×112〉float32[112]bias〈112〉swishConv2Defficientnetb4/block7b_se_expandfloat32[1,1,112,2688]kernel〈1×1×112×2688〉float32[2688]bias〈2688〉SigmoidMultiplyefficientnetb4/block7b_se_exciteConv2Defficientnetb4/block7b_project_convfloat32[1,1,2688,448]kernel〈1×1×2688×448〉BatchNormalizationefficientnetb4/block7b_project_bnfloat32[448]gamma〈448〉float32[448]beta〈448〉float32[448]moving_mean〈448〉float32[448]moving_variance〈448〉Dropoutefficientnetb4/block7b_dropAddefficientnetb4/block7b_addConv2Defficientnetb4/top_convfloat32[1,1,448,1792]kernel〈1×1×448×1792〉BatchNormalizationefficientnetb4/top_bnfloat32[1792]gamma〈1792〉float32[1792]beta〈1792〉float32[1792]moving_mean〈1792〉float32[1792]moving_variance〈1792〉Activationefficientnetb4/top_activationswishFlattentop_flattenDensedense_500float32[258048,500]kernel〈258048×500〉float32[500]bias〈500〉ReLUDensedense_256float32[500,256]kernel〈500×256〉float32[256]bias〈256〉ReLUDenseoutput_layerfloat32[256,9]kernel〈256×9〉float32[9]bias〈9〉Softmaxinputfloat32[?,380,380,3]output_layer \ No newline at end of file diff --git a/README.md b/README.md index 11a7fc4..5e39a14 100644 --- a/README.md +++ b/README.md @@ -46,7 +46,7 @@ Total images in Validation set Ground Truth set 2019: 193 ***Note: Processed dataset can be directly downloaded from the [Kaggle Discussions](https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/164092)*** -### [Sample Images From Dataset](./Data/Sample%20Images/../Sample%20Images/ISIC_0015719.jpg) +### [Sample Images From Dataset](./Data/Sample%20Images/) Figure 3 is labelled as benign melanoma in the dataset. @@ -102,6 +102,7 @@ The fact that diagnosis was the target to predict in last year's competition (in This means that the last layer of our classification model has 9-dimensional output. It is trained with cross entropy loss. ## Data Augmentation + In a small size dataset, image augmentation is required to avoid overfitting the training dataset. After data aggregation, we have around 46k images in the training set. The dataset contains significant class imbalance, with most of the classes have an **"Unknown"** category (Table 2). We have defined our augmentation pipeline to deal with the class imbalance. The augmentation that helps to improve the prediction accuracy of the model is selected. The selected augmentation are as follows: 1. **Transpose**: A spatial level transformation that transposes image by swapping rows and columns. 2. **Flip**: A spatial level transformation that flip image either/both horizontally and/or vertically. Images are randomly flipped either horizontally or vertically to make the model more robust. @@ -128,6 +129,8 @@ Figure 5 illustrates the before and after augmented image. The augmentation is a After the data pre-processing and data augmentation, we have around 46,425 images in the training set, 11,606 images in the validation set and 10,875 images in the testing set. The training set is divided into an 80/20 ratio where 80% is used for training and 20% as a validation set. +***You can view more Augmented samples under [`./Data/Augmented Sample Images`](./Data/Augmented%20Sample%20Images/)*** + # Overview of the Architecture The project contains two flow diagrams. Figure 6 shows the model training pipeline, while Figure 7 shows the web UI flow. The first step after downloading the data is to clean and combine the data (Figure 6). The missing values in the patient demographic are imputed with the average values as the ratio of missing values is less than 5% in the overall dataset. The provided skin lesion images are of higher resolution, and it is not ideal for training the network on the high-resolution images (Figure 3 and 4). In the data pre-processing steps, all images are cropped into 768x786 and 512x512 resolution to reduce random noise on the edges of the image. @@ -163,9 +166,12 @@ Scaling width, depth and resolution improve network accuracy. However, it quickl *Figure 9, Accuracy saturation when scaling on a single dimension [(Mingxing & Quoc, 2019)](https://arxiv.org/pdf/1905.11946.pdf)* -EfficientNet used compound scaling (Figure 8), which uniformly scales the network's width, depth, and resolution. Among the different EfficientNet, EfficientNetB0 is the baseline network obtained by doing **Neural Architecture Search (NAS)**. EfficientNetB1 to B7 is built upon the baseline network having a different value of compound scaling. +EfficientNet used compound scaling (Figure 8), which uniformly scales the network's width, depth, and resolution. Among the different EfficientNet, EfficientNetB0 is the baseline network obtained by doing **Neural Architecture Search (NAS)**. EfficientNetB1 to B7 is built upon the baseline network having a different value of compound scaling. + **We have chosen to use EfficientNet B4, B5 and B7 as these model achieved start-of-the-art 84.4% top-1/ 97.1% top 5 accuracies (Mingxing & Quoc, 2019) on the ImageNet competition.** +***You can view the CNN model visualisation under [Model Visualisation](./Model%20Visualisation/)*** + ## GUI Design To tackle the challenge of identifying skin cancer from skin lesions, we have to build a predictive model for **Computer-Aided Diagnosis (CAD)**. Taking the skin lesions image and patient demographic information as input, we have developed a prototype web application that can help dermatologists interpret skin lesion images.