1.0.17

1. Fix to preserve domain and ir_version.
2. API specification changes due to the version upgrade of onnx are now supported. onnx==1.16.0

What's Changed

• Fix to preserve domain and ir_version by @PINTO0309 in #4

Full Changelog: 1.0.16...1.0.17

1.0.16

• Supports OP generation for TensorRT Plugin.
  • Support for bool
  • OPs with _TRT at the end of OP Type are now skipped from checking by ONNX.

What's Changed

• Supports OP generation for TensorRT Plugin by @PINTO0309 in #3

New Contributors

• @PINTO0309 made their first contribution in #3

Full Changelog: 1.0.15...1.0.16

1.0.15

• Fixed a bug where Constant and ConstantOfShape opsets were not set

Full Changelog: 1.0.14...1.0.15

1.0.14

• Add short form parameter

  $ sog4onnx -h
  
  usage: sog4onnx [-h]
    --ot OP_TYPE
    --os OPSET
    --on OP_NAME
    [-iv NAME TYPE VALUE]
    [-ov NAME TYPE VALUE]
    [-a NAME DTYPE VALUE]
    [-of OUTPUT_ONNX_FILE_PATH]
    [-n]
  
  optional arguments:
    -h, --help
      show this help message and exit
  
    -ot OP_TYPE, --op_type OP_TYPE
      ONNX OP type.
      https://github.com/onnx/onnx/blob/main/docs/Operators.md
  
    -os OPSET, --opset OPSET
      ONNX opset number.
  
    -on OP_NAME, --op_name OP_NAME
      OP name.
  
    -iv INPUT_VARIABLES INPUT_VARIABLES INPUT_VARIABLES, --input_variables INPUT_VARIABLES INPUT_VARIABLES INPUT_VARIABLES
      input_variables can be specified multiple times.
      --input_variables variable_name numpy.dtype shape
      https://github.com/onnx/onnx/blob/main/docs/Operators.md
  
      e.g.
      --input_variables i1 float32 [1,3,5,5] \
      --input_variables i2 int32 [1] \
      --input_variables i3 float64 [1,3,224,224]
  
    -ov OUTPUT_VARIABLES OUTPUT_VARIABLES OUTPUT_VARIABLES, --output_variables OUTPUT_VARIABLES OUTPUT_VARIABLES OUTPUT_VARIABLES
      output_variables can be specified multiple times.
      --output_variables variable_name numpy.dtype shape
      https://github.com/onnx/onnx/blob/main/docs/Operators.md
  
      e.g.
      --output_variables o1 float32 [1,3,5,5] \
      --output_variables o2 int32 [1] \
      --output_variables o3 float64 [1,3,224,224]
  
    -a ATTRIBUTES ATTRIBUTES ATTRIBUTES, --attributes ATTRIBUTES ATTRIBUTES ATTRIBUTES
      attributes can be specified multiple times.
      dtype is one of "float32" or "float64" or "int32" or "int64" or "str".
      --attributes name dtype value
      https://github.com/onnx/onnx/blob/main/docs/Operators.md
  
      e.g.
      --attributes alpha float32 1.0 \
      --attributes beta float32 1.0 \
      --attributes transA int32 0 \
      --attributes transB int32 0
  
    -of OUTPUT_ONNX_FILE_PATH, --output_onnx_file_path OUTPUT_ONNX_FILE_PATH
      Output onnx file path.
      If not specified, a file with the OP type name is generated.
  
      e.g. op_type="Gemm" -> Gemm.onnx
  
    -n, --non_verbose
      Do not show all information logs. Only error logs are displayed.
  

1.0.13

• Support for inf or -inf or infinity or -infinity to attributes

1.0.12

• string attributes bug fixes

1.0.11

• Security update
• README update

1.0.10

• eval() -> ast.literal_eval()

1.0.9

• Added op_name as an input parameter, allowing OPs to be named.
  • CLI

    sog4onnx [-h]
      --op_type OP_TYPE
      --opset OPSET
      --op_name OP_NAME
      [--input_variables NAME TYPE VALUE]
      [--output_variables NAME TYPE VALUE]
      [--attributes NAME DTYPE VALUE]
      [--output_onnx_file_path OUTPUT_ONNX_FILE_PATH]
      [--non_verbose]

  • In-script

    generate(
      op_type: str,
      opset: int,
      op_name: str,
      input_variables: dict,
      output_variables: dict,
      attributes: Union[dict, NoneType] = None,
      output_onnx_file_path: Union[str, NoneType] = '',
      non_verbose: Union[bool, NoneType] = False
    ) -> onnx.onnx_ml_pb2.ModelProto

1.0.8

• REDME fixes.
  • #1 small fixes to README @ibaiGorordo