Struct caffe2op_spatialsoftmax::SpatialSoftmaxWithLossOp

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pub struct SpatialSoftmaxWithLossOp<T, Context> { /* private fields */ }
Expand description

| Combined Spatial Softmax and Cross-Entropy | loss operator. | | Similar to SoftmaxWithLoss, this operator | computes the spatial softmax normalized | values for each layer in the batch of | the given input, after which cross-entropy | loss is computed. | | This operator is numerically more stable | than separate Softmax and CrossEntropy | ops. | | The inputs are a 2-D tensor (Tensor) | of size (batch_size x input_feature_dimensions) | and tensor of labels (ground truth). | | Output is tensor with the probability | for each label in a pixel for each example | (N x D x W x H) and averaged loss (scalar). | | For spatial softmax, weighting is by | x,y position of the input. |

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impl<T, Context> SpatialSoftmaxWithLossOp<T, Context>

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pub fn new<Args>(args: Args) -> Self

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impl<T, Context> SpatialSoftmaxWithLossOp<T, Context>

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pub fn run_on_device_f32_cpu_context(&mut self) -> bool

Auto Trait Implementations§

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impl<T, Context> !RefUnwindSafe for SpatialSoftmaxWithLossOp<T, Context>

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impl<T, Context> !Send for SpatialSoftmaxWithLossOp<T, Context>

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impl<T, Context> !Sync for SpatialSoftmaxWithLossOp<T, Context>

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impl<T, Context> Unpin for SpatialSoftmaxWithLossOp<T, Context>where Context: Unpin, T: Unpin,

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impl<T, Context> !UnwindSafe for SpatialSoftmaxWithLossOp<T, Context>

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