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| batch_norm (const primitive_id &id, const primitive_id &input, const primitive_id &mean, const primitive_id &variance, float epsilon, const padding &output_padding=padding()) |
| Constructs batch normalization primitive. More...
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| batch_norm (const dto *dto) |
| Constructs a copy from C API cldnn_batch_norm_desc.
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const cldnn_primitive_desc * | get_dto () const override |
| Returns pointer to a C API primitive descriptor casted to cldnn_primitive_desc.
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| primitive (const primitive_type_id &type, const primitive_id &id, const std::vector< primitive_id > &input, const padding &output_padding=padding()) |
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| primitive (const cldnn_primitive_desc *dto) |
| Constructs a copy from basic C API cldnn_primitive_desc.
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std::vector< std::reference_wrapper< primitive_id > > | dependecies () |
| Returns references to all primitive ids on which this primitive depends - inputs, weights, biases, etc.
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std::vector< primitive_id > | dependecies () const |
| Returns copy of all primitive ids on which this primitive depends - inputs, weights, biases, etc.
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| operator primitive_id () const |
| Implicit conversion to primiitive id.
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Batch normalization primitive.
Performs batch normalization as discribed in "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift" by Ioffe, Szegedy
See: http://arxiv.org/abs/1502.03167
Algorithm:
global stats can be computed as:
out[i] = in[i] - mean[b] / sqrt(variance[b] + epsilon)
Definition at line 40 of file batch_norm.hpp.