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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| { | ||
| "keras_to_MDF": { | ||
| "format": "ModECI MDF v0.4", | ||
| "generating_application": "Python modeci-mdf v0.4.7", | ||
| "graphs": { | ||
| "Keras_to_MDF_graph": { | ||
| "nodes": { | ||
| "input_node": { | ||
| "parameters": { | ||
| "input_node_in": { | ||
| "value": [ | ||
| 1.0 | ||
| ] | ||
| } | ||
| }, | ||
| "output_ports": { | ||
| "input_node_out": { | ||
| "value": "input_node_in" | ||
| } | ||
| } | ||
| }, | ||
| "dense_node": { | ||
| "input_ports": { | ||
| "dense_node_in": {} | ||
| }, | ||
| "parameters": { | ||
| "wgts": { | ||
| "value": "weights" | ||
| }, | ||
| "bias": { | ||
| "value": "bias" | ||
| }, | ||
| "Output": { | ||
| "value": "(dense_node_in @ wgts) + bias" | ||
| } | ||
| }, | ||
| "output_ports": { | ||
| "dense_node_out": { | ||
| "value": "Output" | ||
| } | ||
| } | ||
| }, | ||
| "activation_node": { | ||
| "input_ports": { | ||
| "activation_node_in": {} | ||
| }, | ||
| "output_ports": { | ||
| "activation_node_out": { | ||
| "value": "Output" | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,33 @@ | ||
| keras_to_MDF: | ||
| format: ModECI MDF v0.4 | ||
| generating_application: Python modeci-mdf v0.4.7 | ||
| graphs: | ||
| Keras_to_MDF_graph: | ||
| nodes: | ||
| input_node: | ||
| parameters: | ||
| input_node_in: | ||
| value: | ||
| - 1.0 | ||
| output_ports: | ||
| input_node_out: | ||
| value: input_node_in | ||
| dense_node: | ||
| input_ports: | ||
| dense_node_in: {} | ||
| parameters: | ||
| wgts: | ||
| value: weights | ||
| bias: | ||
| value: bias | ||
| Output: | ||
| value: (dense_node_in @ wgts) + bias | ||
| output_ports: | ||
| dense_node_out: | ||
| value: Output | ||
| activation_node: | ||
| input_ports: | ||
| activation_node_in: {} | ||
| output_ports: | ||
| activation_node_out: | ||
| value: Output |
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