@Namespace(value="mkldnn") @Properties(inherit=mkldnn.class) public class batch_normalization_forward extends primitive
\addtogroup cpp_api_batch_norm Batch normalization A primitive to perform batch normalization.
c_api_batch_normalization in \ref c_api
\{| Modifier and Type | Class and Description |
|---|---|
static class |
batch_normalization_forward.desc |
static class |
batch_normalization_forward.primitive_desc |
primitive.atPointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounterbatch_normalization, concat, concat_inplace, convolution, deconvolution, eltwise, inner_product, lrn, memory, pooling, reorder, rnn, shuffle, softmax, sum, undefined_primitive, view| Constructor and Description |
|---|
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
memory dst) |
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
memory dst,
memory mean,
memory variance) |
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
memory dst,
memory mean,
memory variance,
memory workspace)
\warning batch_normalization_forward has two constructors with very
similar signatures:
- (pd, src, weights, dst, mean, variance) // 2 in, 3 out
- (pd, src, dst, mean, variance, workspace) // 1 in, 4 out
The only way to distinguish between them is to explicitly
cast all input parameters to their type; that is, to
const primitive:at &.
|
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
primitive.at weights,
memory dst) |
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
primitive.at weights,
memory dst,
memory mean,
memory variance)
\warning batch_normalization_forward has two constructors with very
similar signatures:
- (pd, src, weights, dst, mean, variance) // 2 in, 3 out
- (pd, src, dst, mean, variance, workspace) // 1 in, 4 out
The only way to distinguish between them is to explicitly
cast all input parameters to their type; that is, to
const primitive:at &.
|
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
primitive.at weights,
memory dst,
memory mean,
memory variance,
memory workspace) |
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
primitive.at mean,
primitive.at variance,
memory dst) |
batch_normalization_forward(batch_normalization_forward.primitive_desc aprimitive_desc,
primitive.at src,
primitive.at mean,
primitive.at variance,
primitive.at weights,
memory dst) |
batch_normalization_forward(Pointer p)
Pointer cast constructor.
|
get_mkldnn_primitive_desc, getPointer, positionequals, get, notEquals, put, reset, resetaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zeropublic batch_normalization_forward(Pointer p)
Pointer(Pointer).public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef primitive.at mean, @Const @ByRef primitive.at variance, @Const @ByRef primitive.at weights, @Const @ByRef memory dst)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef primitive.at mean, @Const @ByRef primitive.at variance, @Const @ByRef memory dst)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef primitive.at weights, @Const @ByRef memory dst, @Const @ByRef memory mean, @Const @ByRef memory variance)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef primitive.at weights, @Const @ByRef memory dst, @Const @ByRef memory mean, @Const @ByRef memory variance, @Const @ByRef memory workspace)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef memory dst, @Const @ByRef memory mean, @Const @ByRef memory variance)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef memory dst, @Const @ByRef memory mean, @Const @ByRef memory variance, @Const @ByRef memory workspace)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef primitive.at weights, @Const @ByRef memory dst)
public batch_normalization_forward(@Const @ByRef batch_normalization_forward.primitive_desc aprimitive_desc, @Const @ByRef primitive.at src, @Const @ByRef memory dst)
Copyright © 2022. All rights reserved.