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>
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1.5 KiB
ReadValue
Versioned name: ReadValue-3
Category: Infrastructure
Short description: ReadValue returns value of the variable_id variable.
Detailed description:
ReadValue returns value from the corresponding variable_id variable if the variable was set already by Assign operation and was not reset.
The operation checks that the type and shape of the output are the same as
declared in variable_id and returns an error otherwise. If the corresponding variable was not set or was reset,
the operation returns the value from the 1 input, and initializes the variable_id shape and type
with the shape and type from the 1 input.
Attributes:
-
variable_id
- Description: identificator of the variable to be read
- Range of values: any non-empty string
- Type: string
- Default value: None
- Required: Yes
Inputs
- 1:
init_value- input tensor with constant values of any supported type. Required.
Outputs
- 1: tensor with the same shape and type as
init_value
Example
<layer ... type="ReadValue" ...>
<data variable_id="lstm_state_1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>224</dim>
<dim>224</dim>
</port>
</input>
<output>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>224</dim>
<dim>224</dim>
</port>
</output>
</layer>