ef45b5da8d
* Doc Migration from Gitlab (#1289) * doc migration * fix * Update FakeQuantize_1.md * Update performance_benchmarks.md * Updates graphs for FPGA * Update performance_benchmarks.md * Change DL Workbench structure (#1) * Changed DL Workbench structure * Fixed tags * fixes * Update ie_docs.xml * Update performance_benchmarks_faq.md * Fixes in DL Workbench layout * Fixes for CVS-31290 * [DL Workbench] Minor correction * Fix for CVS-30955 * Added nGraph deprecation notice as requested by Zoe * fix broken links in api doxy layouts * CVS-31131 fixes * Additional fixes * Fixed POT TOC * Update PAC_Configure.md PAC DCP 1.2.1 install guide. * Update inference_engine_intro.md * fix broken link * Update opset.md * fix * added opset4 to layout * added new opsets to layout, set labels for them * Update VisionAcceleratorFPGA_Configure.md Updated from 2020.3 to 2020.4 Co-authored-by: domi2000 <domi2000@users.noreply.github.com>
2.4 KiB
Split
Versioned name: Split-1
Category: Data movement operations
Short description: Split operation splits an input tensor into pieces of the same length along some axis.
Attributes
-
num_splits
- Description: it specifies the number of outputs into which the initial "data" tensor will be split along "axis"
- Range of values: a positive integer less than or equal to the size of the dimension being split over
- Type: any integer type
- Default value: None
- Required: Yes
Inputs
-
1: "data" - A tensor of type T1. Required.
-
2: "axis" - axis along "data" to split. A scalar of type T2 with value from range
-rank(data) .. rank(data)-1. Negative values address dimensions from the end. Required.
Outputs
- Multiple outputs: Tensors of the same type as the 1st input tensor. The shape of the i-th output has the same shape as the "data" except along dimension "axis" where the size is
data.shape[i]/num_splits.
Detailed Description
Split operation splits the "data" input tensor into pieces of the same length along "axis". The i-th shape of output tensor will be equal to the "data" shape except along dimension "axis" where the shape will be data.shape[i]/num_splits. The sum of elements of split_lengths must match data.shape[axis].
Shape of output tensor will be: \f[ shape_output_tensor = shape_input_tensor[shape_input_tensor[0], shape_input_tensor[1], ... ,split_lengths[axis], ... shape_input_tensor[D-1]], where D rank of input tensor. \f]
Types
- T1: arbitrary supported type.
- T2: any integer type.
Example
<layer id="1" type="Split" ...>
<data num_splits="3" />
<input>
<port id="0"> <!-- some data -->
<dim>6</dim>
<dim>12</dim>
<dim>10</dim>
<dim>24</dim>
</port>
<port id="1"> <!-- axis: 1 -->
</port>
</input>
<output>
<port id="2">
<dim>6</dim>
<dim>4</dim>
<dim>10</dim>
<dim>24</dim>
</port>
<port id="3">
<dim>6</dim>
<dim>4</dim>
<dim>10</dim>
<dim>24</dim>
</port>
<port id="4">
<dim>6</dim>
<dim>4</dim>
<dim>10</dim>
<dim>24</dim>
</port>
</output>
</layer>