Description Usage Arguments Value References
It creates an input in the network: a place where data, such as features and labels, should be provided.
1 2 3 | op_input_variable(shape, dtype = "float32", needs_gradient = FALSE,
is_sparse = FALSE, dynamic_axes = c(get_default_batch_axis()),
name = "")
|
shape |
- list of ints representing tensor shape integer vector for dimensions of input tensor |
needs_gradient |
logical whether to conduct backprop on the tensor |
is_sparse |
logical whether variable is sparse |
dynamic_axes |
list of dynamic axis (only a single axis can be dynamic, i.e., either batch axis or time axis) |
Variable https://www.cntk.ai/pythondocs/cntk.variables.html#cntk.variables.Variable
https://www.cntk.ai/pythondocs/cntk.ops.html#cntk.ops.input_variable
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