Intel® FPGA AI Suite: IP Reference Manual

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ID 768974
Date 7/03/2023
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Document Table of Contents
Document Table of Contents x
1. Intel® FPGA AI Suite IP Reference Manual 2. About the Intel® FPGA AI Suite IP 3. Intel® FPGA AI Suite IP Generation Utility 4. Intel® FPGA AI Suite Ahead-of-Time Splitter Utility 5. CSR Map and Descriptor Queue A. Intel® FPGA AI Suite IP Reference Manual Archives B. Intel® FPGA AI Suite IP Reference Manual Document Revision History
2. About the Intel® FPGA AI Suite IP x
2.1. Supported Models 2.2. Model Performance 2.3. Intel® FPGA AI Suite Layer / Primitive Ranges 2.4. Intel® FPGA AI Suite IP Block Configuration 2.5. IP Block Interfaces
2.1. Supported Models x
2.1.1. MobileNet V2 differences between Caffe and TensorFlow models
2.2. Model Performance x
2.2.1. Throughput on the MobileNetV1 model (and other very fast models)
2.4. Intel® FPGA AI Suite IP Block Configuration x
2.4.1. Architecture Description File Format for Instance Parameterization 2.4.2. Architecture Description File Parameters
2.4.2. Architecture Description File Parameters x
2.4.2.1. Parameter group: Global Parameters 2.4.2.2. Parameter group: activation 2.4.2.3. Parameter group: pe_array 2.4.2.4. Parameter group: pool 2.4.2.5. Module: softmax 2.4.2.6. Parameter group: dma 2.4.2.7. Parameter group: xbar 2.4.2.8. Parameter group: filter_scratchpad Parameters: filter_scratchpad/filter_depth Parameters: filter_scratchpad/bias_scale_depth 2.4.2.9. Parameter group: config_network
2.5. IP Block Interfaces x
2.5.1. Clock and Reset 2.5.2. AXI Interfaces 2.5.3. AXI Interface Clock and Reset 2.5.4. Input Feature Tensor In-Memory Format 2.5.5. Output Tensor In-Memory Format
2.5.4. Input Feature Tensor In-Memory Format x
2.5.4.1. Multiple Input Graphs 2.5.4.2. Input Folding 2.5.4.3. Input Scale and Shift 2.5.4.4. Input Transform Mapping
3. Intel® FPGA AI Suite IP Generation Utility x
3.1. IP Generation Utility Execution Flows 3.2. IP Generation Utility Inputs 3.3. IP Generation Utility Outputs 3.4. IP Generation Utility Command Line Options
3.4. IP Generation Utility Command Line Options x
3.4.1. The --flow create_ip Flow 3.4.2. The --flow add_arch Flow 3.4.3. The --flow list Flow 3.4.4. The --flow remove_arch Flow
4. Intel® FPGA AI Suite Ahead-of-Time Splitter Utility x
4.1. Files Generated by the Intel® FPGA AI Suite Ahead-of-Time (AOT) Splitter Utility 4.2. Building the Intel® FPGA AI Suite Ahead-of-Time (AOT) Splitter Utility 4.3. Running the Intel® FPGA AI Suite Ahead-of-Time (AOT) Splitter Utility 4.4. Intel® FPGA AI Suite Ahead-of-Time (AOT) Splitter Utility Example Application
5. CSR Map and Descriptor Queue x
5.1. Discovery ROM 5.2. Interrupt Control 5.3. DMA Descriptor Queue 5.4. DMA Control Registers 5.5. Performance Registers
1. Intel® FPGA AI Suite IP Reference Manual
2. About the Intel® FPGA AI Suite IP
3. Intel® FPGA AI Suite IP Generation Utility
4. Intel® FPGA AI Suite Ahead-of-Time Splitter Utility
5. CSR Map and Descriptor Queue
A. Intel® FPGA AI Suite IP Reference Manual Archives
B. Intel® FPGA AI Suite IP Reference Manual Document Revision History

2.4.2.8. Parameter group: filter_scratchpad

These parameters define the on-chip cache used for the filter weights, bias values, and scale values (if scale and bias are enabled).

Parameters: filter_scratchpad/filter_depth

This parameter defines the size of the on-chip cache used to store convolution filter weights. Larger values use more FPGA resources, but might increase fps.

Typically, the architecture optimizer is used to set this parameter.

Legal values:
[512-2048]

Must be a power of 2.

Parameters: filter_scratchpad/bias_scale_depth

This parameter defines the size of the on-chip cache used to store feature bias and scale weights, if the corresponding support is enabled in the PE Array. Larger values use more FPGA resources, but might increase inference throughput.

Typically this is set equal to the filter_scratchpad/filter_depth parameter.

Legal values:
[512-2048]

Must be a power of 2.

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