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authoraktersnurra <gustaf.rydholm@gmail.com>2020-08-03 23:33:34 +0200
committeraktersnurra <gustaf.rydholm@gmail.com>2020-08-03 23:33:34 +0200
commit07dd14116fe1d8148fb614b160245287533620fc (patch)
tree63395d88b17a14ad453c52889fcf541e6cbbdd3e /wandb/run-20200731_200927-r504fu7h/media
parent704451318eb6b0b600ab314cb5aabfac82416bda (diff)
Working Emnist lines dataset.
Diffstat (limited to 'wandb/run-20200731_200927-r504fu7h/media')
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/graph/graph_0_summary_1247f856.graph.json1
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_12.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_15.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_18.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_2.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_22.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_25.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_28.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_32.pngbin0 -> 3261 bytes
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-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_38.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_42.pngbin0 -> 3261 bytes
-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_45.pngbin0 -> 3261 bytes
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-rw-r--r--wandb/run-20200731_200927-r504fu7h/media/images/examples_8.pngbin0 -> 3261 bytes
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diff --git a/wandb/run-20200731_200927-r504fu7h/media/graph/graph_0_summary_1247f856.graph.json b/wandb/run-20200731_200927-r504fu7h/media/graph/graph_0_summary_1247f856.graph.json
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@@ -0,0 +1 @@
+{"format": "torch", "nodes": [{"name": "layers.0", "id": 140483865262880, "class_name": "Conv2d(1, 32, kernel_size=(3, 3), stride=(1, 1))", "parameters": [["weight", [32, 1, 3, 3]], ["bias", [32]]], "output_shape": [[2, 32, 26, 26]], "num_parameters": [288, 32]}, {"name": "layers.1", "id": 140483865262688, "class_name": "ReLU(inplace=True)", "parameters": [], "output_shape": [[2, 32, 26, 26]], "num_parameters": []}, {"name": "layers.2", "id": 140483865262832, "class_name": "Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1))", "parameters": [["weight", [64, 32, 3, 3]], ["bias", [64]]], "output_shape": [[2, 64, 24, 24]], "num_parameters": [18432, 64]}, {"name": "layers.4", "id": 140483865263120, "class_name": "MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)", "parameters": [], "output_shape": [[2, 64, 12, 12]], "num_parameters": []}, {"name": "layers.5", "id": 140483865263072, "class_name": "Dropout(p=0.2, inplace=False)", "parameters": [], "output_shape": [[2, 64, 12, 12]], "num_parameters": []}, {"name": "layers.6", "id": 140483865262784, "class_name": "Flatten()", "parameters": [], "output_shape": [[2, 9216]], "num_parameters": []}, {"name": "layers.7", "id": 140485517738336, "class_name": "Linear(in_features=9216, out_features=128, bias=True)", "parameters": [["weight", [128, 9216]], ["bias", [128]]], "output_shape": [[2, 128]], "num_parameters": [1179648, 128]}, {"name": "layers.9", "id": 140485517738768, "class_name": "Dropout(p=0.2, inplace=False)", "parameters": [], "output_shape": [[2, 128]], "num_parameters": []}, {"name": "layers.10", "id": 140483865659328, "class_name": "Linear(in_features=128, out_features=62, bias=True)", "parameters": [["weight", [62, 128]], ["bias", [62]]], "output_shape": [[2, 62]], "num_parameters": [7936, 62]}], "edges": []}
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