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
FlatBuffers