{ "dataset_files": [ "shape-3-224-224-3-32-2-0", "shape-32-112-112-1-64-1-0", "shape-64-56-56-1-128-1-0", "shape-128-56-56-1-128-1-0", "shape-128-28-28-1-256-1-0", "shape-256-28-28-1-256-1-0", "shape-256-14-14-1-512-1-0", "shape-512-14-14-1-512-1-0", "shape-512-7-7-1-1024-1-0", "shape-1024-7-7-1-1024-1-0", "shape-1024-1-1-1-1001-1-0" ], "tags": [ "dataset", "nntest", "tensor-conv", "tensor-conv-mobilenets", "conv", "convolution", "mobilenets", "mobilenets-v1", "mobilenets-v1-1.0-224" ], "desc_dataset_files": { "shape-1024-1-1-1-1001-1-0": { "name": "MobileNet_1.0_224 Logits_Conv2d_1c_1x1 input 1x1x1024 filter 1x1x1001 stride 1 pad 0" }, "shape-32-112-112-1-64-1-0": { "name": "MobileNet_1.0_224 Conv2d_1 input 112x112x32 filter 1x1x64 stride 1 pad 0" }, "shape-1024-7-7-1-1024-1-0": { "name": "MobileNet_1.0_224 Conv2d_13 input 7x7x1024 filter 1x1x1024 stride 1 pad 0" }, "shape-512-14-14-1-512-1-0": { "name": "MobileNet_1.0_224 Conv2d_7 input 14x14x512 filter 1x1x512 stride 1 pad 0" }, "shape-64-56-56-1-128-1-0": { "name": "MobileNet_1.0_224 Conv2d_2 input 56x56x64 filter 1x1x128 stride 1 pad 0" }, "shape-3-224-224-3-32-2-0": { "name": "MobileNet_1.0_224 Conv2d_0 input 224x224x3 filter 3x3x32 stride 2 pad 0" }, "shape-128-56-56-1-128-1-0": { "name": "MobileNet_1.0_224 Conv2d_3 input 56x56x128 filter 1x1x128 stride 1 pad 0" }, "shape-512-7-7-1-1024-1-0": { "name": "MobileNet_1.0_224 Conv2d_12 input 7x7x512 filter 1x1x1024 stride 1 pad 0" }, "shape-256-14-14-1-512-1-0": { "name": "MobileNet_1.0_224 Conv2d_6 input 14x14x256 filter 1x1x512 stride 1 pad 0" }, "shape-128-28-28-1-256-1-0": { "name": "MobileNet_1.0_224 Conv2d_4 input 28x28x128 filter 1x1x256 stride 1 pad 0" }, "shape-256-28-28-1-256-1-0": { "name": "MobileNet_1.0_224 Conv2d_5 input 28x28x256 filter 1x1x256 stride 1 pad 0" } } }