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| | scale (const primitive_id &id, const primitive_id &input, const primitive_id &scale_input, const padding &output_padding=padding()) |
| | Constructs scale primitive without adding bias. More...
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| | scale (const primitive_id &id, const primitive_id &input, const primitive_id &scale_input, const primitive_id &bias, const padding &output_padding=padding()) |
| | Constructs scale primitive with optional adding bias. More...
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| scale (const dto *dto) |
| | Constructs a copy from C API cldnn_scale_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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Performs elementwise product of input and scale_input.
Scale input dimension should be equal to input dimension or be 1 if it is not there.
Input size : 2x3x4x5(BFYX)
Possible scale inputs sizes :
2x3x4x5 - works the same as(axis == 0 == -4) in caffe
1x3x4x5 - works the same as(axis == 1 == -3) in caffe
1x1x4x5 - works the same as(axis == 2 == -2) in caffe
1x1x1x5 - works the same as(axis == 3 == -1) in caffe
1x1x1x1 - works the same as empty shape(scalar) in caffe
When scale_input is the same as input, the behavior is the same as eltwise with product operation.
Performs scale over feature when the scale feature size is equal to input feature size.
Performs scale over feature in batch when the scale feature and scale batch sizes are equal to input feature and input batch sizes.
Optionally it can also add provided biases by providing bias data.
Definition at line 44 of file scale.hpp.
Public Member Functions inherited from cldnn::primitive_base< scale, cldnn_scale_desc >