tfldump

What is this?

tfldump is a tool that dumps binary tflite file into human readable text to console.

tfldump is implemented with C++ not python. We can do the same thing much easier with python but this tool doesn’t need to install TensorFlow python package.

Schema for FlatBuffer used is from TensorFlow v1.12.0 release.

Design philosophy

Make the code simple.

To do

• Print weight values other than uint8_t
• Add more operators

How to use

Command argument format:

tfldump tflite_file

Example output of dump readme.tflite file

Dump: readme.tflite

Operator Codes: [order] OpCodeName (OpCode Enum)
[0] CONV_2D (code: 3)

Buffers: B(index) (length) values, if any
B(0) (0)
B(1) (8) 0x94 0x5b 0x95 0xbf 0x42 0xa4 0x52 0xbf ...
B(2) (4) 0xcd 0xcc 0x8c 0x3f

Operands: T(tensor index) TYPE (shape) B(buffer index) OperandName
T(0) FLOAT32 (1, 3, 3, 2) B(0) ifm
T(1) FLOAT32 (1, 1, 1, 2) B(1) ker
T(2) FLOAT32 (1) B(2) bias
T(3) FLOAT32 (1, 3, 3, 1) B(0) ofm

Operators: O(operator index) OpCodeName
    Option(values) ... <-- depending on OpCode
    I T(tensor index) OperandName <-- as input
    O T(tensor index) OperandName <-- as output
O(0) CONV_2D
    Padding(1) Stride.W(1) Stride.H(1) Activation(0)
    I T(0) ifm
    I T(1) ker
    I T(2) bias
    O T(3) ofm

Inputs/Outputs: I(input)/O(output) T(tensor index) OperandName
I T(0) ifm
I T(1) ker
O T(3) ofm

Dependency

• safemain
• stdex
• FlatBuffers