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# | |
input: "data" | |
input_dim: 1 | |
input_dim: 3 | |
input_dim: 713 | |
input_dim: 713 | |
layer { | |
name: "conv1_1_3x3_s2" | |
type: "Convolution" |
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name: "FCNVGG8" | |
layer { | |
name: "input" | |
type: "Input" | |
top: "data" | |
input_param { | |
# These dimensions are purely for sake of example; | |
# see infer.py for how to reshape the net to the given input size. | |
shape { dim: 1 dim: 3 dim: 500 dim: 500 } | |
} |
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name: "FCNVGG16Train" | |
layer { | |
name: "input" | |
type: "Input" | |
top: "data" | |
top: "label" | |
input_param { | |
# These dimensions are purely for sake of example; | |
# see infer.py for how to reshape the net to the given input size. | |
shape { dim: 1 dim: 3 dim: 500 dim: 500 } |
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layer { | |
name: "input" | |
type: "Input" | |
top: "data" | |
input_param { | |
shape { dim: 1 dim: 3 dim: 500 dim: 500 } | |
} | |
} | |
layer { | |
name: "conv1_1" |
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--- | |
Language: Cpp | |
# BasedOnStyle: Chromium | |
AccessModifierOffset: -1 | |
AlignAfterOpenBracket: Align | |
AlignConsecutiveAssignments: false | |
AlignConsecutiveDeclarations: false | |
AlignEscapedNewlines: Left | |
AlignOperands: true | |
AlignTrailingComments: true |
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