create_dl_layer_permutation T_create_dl_layer_permutation CreateDlLayerPermutation CreateDlLayerPermutation create_dl_layer_permutation (Operator)
Name
create_dl_layer_permutation T_create_dl_layer_permutation CreateDlLayerPermutation CreateDlLayerPermutation create_dl_layer_permutation
— Create a permutation layer.
Signature
void CreateDlLayerPermutation (const HTuple& DLLayerInput , const HTuple& LayerName , const HTuple& Permutation , const HTuple& GenParamName , const HTuple& GenParamValue , HTuple* DLLayerPermutation )
HDlLayer HDlLayer ::CreateDlLayerPermutation (const HString& LayerName , const HTuple& Permutation , const HTuple& GenParamName , const HTuple& GenParamValue ) const
HDlLayer HDlLayer ::CreateDlLayerPermutation (const HString& LayerName , const HTuple& Permutation , const HString& GenParamName , const HString& GenParamValue ) const
HDlLayer HDlLayer ::CreateDlLayerPermutation (const char* LayerName , const HTuple& Permutation , const char* GenParamName , const char* GenParamValue ) const
HDlLayer HDlLayer ::CreateDlLayerPermutation (const wchar_t* LayerName , const HTuple& Permutation , const wchar_t* GenParamName , const wchar_t* GenParamValue ) const
(Windows only)
static void HOperatorSet .CreateDlLayerPermutation (HTuple DLLayerInput , HTuple layerName , HTuple permutation , HTuple genParamName , HTuple genParamValue , out HTuple DLLayerPermutation )
HDlLayer HDlLayer .CreateDlLayerPermutation (string layerName , HTuple permutation , HTuple genParamName , HTuple genParamValue )
HDlLayer HDlLayer .CreateDlLayerPermutation (string layerName , HTuple permutation , string genParamName , string genParamValue )
Description
The operator create_dl_layer_permutation create_dl_layer_permutation CreateDlLayerPermutation CreateDlLayerPermutation CreateDlLayerPermutation create_dl_layer_permutation
creates a permutation layer
whose handle is returned in DLLayerPermutation DLLayerPermutation DLLayerPermutation DLLayerPermutation DLLayerPermutation dllayer_permutation
.
The parameter DLLayerInput DLLayerInput DLLayerInput DLLayerInput DLLayerInput dllayer_input
determines the feeding input layer
and expects the layer handle as value.
The parameter LayerName LayerName LayerName LayerName layerName layer_name
sets an individual layer name.
Note that if creating a model using create_dl_model create_dl_model CreateDlModel CreateDlModel CreateDlModel create_dl_model
each layer of
the created network must have a unique name.
The parameter Permutation Permutation Permutation Permutation permutation permutation
determines the new order of the axes of
DLLayerInput DLLayerInput DLLayerInput DLLayerInput DLLayerInput dllayer_input
, to which the input axes should be permuted.
Permutation Permutation Permutation Permutation permutation permutation
has the form
[index width
, index height
, index depth
,
index batch
], where the indices are corresponding to the dimensions
of the input. For example, [0, 1, 3, 2] leads to swapping the depth
and the batch axes. Therefore, each index must be unique and be taken from
the set '0, 1, 2, 3' "0, 1, 2, 3" "0, 1, 2, 3" "0, 1, 2, 3" "0, 1, 2, 3" "0, 1, 2, 3" .
Using a CPU device, for some values of Permutation Permutation Permutation Permutation permutation permutation
the internal code
can not be optimized which can lead to an increased runtime. In this case,
the layer parameter 'fall_back_to_baseline' "fall_back_to_baseline" "fall_back_to_baseline" "fall_back_to_baseline" "fall_back_to_baseline" "fall_back_to_baseline" is set to
'true' "true" "true" "true" "true" "true" .
The following generic parameters GenParamName GenParamName GenParamName GenParamName genParamName gen_param_name
and the corresponding
values GenParamValue GenParamValue GenParamValue GenParamValue genParamValue gen_param_value
are supported:
'is_inference_output' "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" :
Determines whether apply_dl_model apply_dl_model ApplyDlModel ApplyDlModel ApplyDlModel apply_dl_model
will include the output of this
layer in the dictionary DLResultBatch DLResultBatch DLResultBatch DLResultBatch DLResultBatch dlresult_batch
even without specifying
this layer in Outputs Outputs Outputs Outputs outputs outputs
('true' "true" "true" "true" "true" "true" ) or not
('false' "false" "false" "false" "false" "false" ).
Default: 'false' "false" "false" "false" "false" "false"
Certain parameters of layers created using this operator
create_dl_layer_permutation create_dl_layer_permutation CreateDlLayerPermutation CreateDlLayerPermutation CreateDlLayerPermutation create_dl_layer_permutation
can be set and retrieved using
further operators.
The following tables give an overview, which parameters can be set
using set_dl_model_layer_param set_dl_model_layer_param SetDlModelLayerParam SetDlModelLayerParam SetDlModelLayerParam set_dl_model_layer_param
and which ones can be retrieved
using get_dl_model_layer_param get_dl_model_layer_param GetDlModelLayerParam GetDlModelLayerParam GetDlModelLayerParam get_dl_model_layer_param
or get_dl_layer_param get_dl_layer_param GetDlLayerParam GetDlLayerParam GetDlLayerParam get_dl_layer_param
. Note,
the operators set_dl_model_layer_param set_dl_model_layer_param SetDlModelLayerParam SetDlModelLayerParam SetDlModelLayerParam set_dl_model_layer_param
and
get_dl_model_layer_param get_dl_model_layer_param GetDlModelLayerParam GetDlModelLayerParam GetDlModelLayerParam get_dl_model_layer_param
require a model created by
create_dl_model create_dl_model CreateDlModel CreateDlModel CreateDlModel create_dl_model
.
Generic Layer Parameters
set
get
'is_inference_output' "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output"
'num_trainable_params' "num_trainable_params" "num_trainable_params" "num_trainable_params" "num_trainable_params" "num_trainable_params"
Execution Information
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.
Parameters
DLLayerInput DLLayerInput DLLayerInput DLLayerInput DLLayerInput dllayer_input
(input_control) dl_layer →
HDlLayer , HTuple HHandle HTuple Htuple (handle) (IntPtr ) (HHandle ) (handle )
Feeding layer.
LayerName LayerName LayerName LayerName layerName layer_name
(input_control) string →
HTuple str HTuple Htuple (string) (string ) (HString ) (char* )
Name of the output layer.
Permutation Permutation Permutation Permutation permutation permutation
(input_control) number-array →
HTuple Sequence[int] HTuple Htuple (integer) (int / long) (Hlong ) (Hlong )
Order of the permuted axes.
Default value: [0,1,2,3]
GenParamName GenParamName GenParamName GenParamName genParamName gen_param_name
(input_control) attribute.name(-array) →
HTuple MaybeSequence[str] HTuple Htuple (string) (string ) (HString ) (char* )
Generic input parameter names.
Default value: []
List of values: 'is_inference_output' "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output"
GenParamValue GenParamValue GenParamValue GenParamValue genParamValue gen_param_value
(input_control) attribute.value(-array) →
HTuple MaybeSequence[Union[int, float, str]] HTuple Htuple (string / integer / real) (string / int / long / double) (HString / Hlong / double) (char* / Hlong / double)
Generic input parameter values.
Default value: []
Suggested values: 'true' "true" "true" "true" "true" "true" , 'false' "false" "false" "false" "false" "false"
DLLayerPermutation DLLayerPermutation DLLayerPermutation DLLayerPermutation DLLayerPermutation dllayer_permutation
(output_control) dl_layer →
HDlLayer , HTuple HHandle HTuple Htuple (handle) (IntPtr ) (HHandle ) (handle )
Permutation layer.
Example (HDevelop)
* Swap the batch and depth axes with a permutation layer.
create_dl_layer_input ('input_a', [1, 1, 4], ['input_type', 'const_val'], \
['constant', 1.0], DLLayerInputA)
create_dl_layer_input ('input_b', [1, 1, 4], ['input_type', 'const_val'], \
['constant', 2.0], DLLayerInputB)
create_dl_layer_concat ([DLLayerInputA, DLLayerInputB], 'concat', 'batch', \
[], [], DLLayerConcat)
create_dl_layer_permutation (DLLayerConcat, 'permute', [0,1,3,2], \
[], [], DLLayerPermute)
create_dl_layer_depth_max (DLLayerPermute, 'depth_max', 'value', \
[], [], _, DLLayerDepthMaxValue)
create_dl_model (DLLayerDepthMaxValue, DLModel)
* The expected output values in DLResultBatch.depth_max are [2.0,2.0,2.0,2.0]
query_available_dl_devices (['runtime'], ['cpu'], DLDeviceHandles)
set_dl_model_param (DLModel, 'device', DLDeviceHandles[0])
apply_dl_model (DLModel, dict{}, [], DLResultBatch)
Possible Predecessors
create_dl_layer_input create_dl_layer_input CreateDlLayerInput CreateDlLayerInput CreateDlLayerInput create_dl_layer_input
,
create_dl_layer_concat create_dl_layer_concat CreateDlLayerConcat CreateDlLayerConcat CreateDlLayerConcat create_dl_layer_concat
,
create_dl_layer_reshape create_dl_layer_reshape CreateDlLayerReshape CreateDlLayerReshape CreateDlLayerReshape create_dl_layer_reshape
Possible Successors
create_dl_layer_convolution create_dl_layer_convolution CreateDlLayerConvolution CreateDlLayerConvolution CreateDlLayerConvolution create_dl_layer_convolution
,
create_dl_layer_dense create_dl_layer_dense CreateDlLayerDense CreateDlLayerDense CreateDlLayerDense create_dl_layer_dense
,
create_dl_layer_reshape create_dl_layer_reshape CreateDlLayerReshape CreateDlLayerReshape CreateDlLayerReshape create_dl_layer_reshape
See also
create_dl_layer_reshape create_dl_layer_reshape CreateDlLayerReshape CreateDlLayerReshape CreateDlLayerReshape create_dl_layer_reshape
Module
Deep Learning Training