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- from generator import (
- GenerateGemmOperations,
- GenerateGemvOperations,
- GenerateConv2dOperations,
- GenerateDeconvOperations,
- GenerateDwconv2dFpropOperations,
- GenerateDwconv2dDgradOperations,
- GenerateDwconv2dWgradOperations,
- )
-
-
- class GenArg:
- def __init__(self, gen_op, gen_type):
- self.operations = gen_op
- self.type = gen_type
-
-
- def write_op_list(f, gen_op, gen_type):
- if gen_op == "gemm":
- operations = GenerateGemmOperations(GenArg(gen_op, gen_type))
- elif gen_op == "gemv":
- operations = GenerateGemvOperations(GenArg(gen_op, gen_type))
- elif gen_op == "conv2d":
- operations = GenerateConv2dOperations(GenArg(gen_op, gen_type))
- elif gen_op == "deconv":
- operations = GenerateDeconvOperations(GenArg(gen_op, gen_type))
- elif gen_op == "dwconv2d_fprop":
- operations = GenerateDwconv2dFpropOperations(GenArg(gen_op, gen_type))
- elif gen_op == "dwconv2d_dgrad":
- operations = GenerateDwconv2dDgradOperations(GenArg(gen_op, gen_type))
- elif gen_op == "dwconv2d_wgrad":
- operations = GenerateDwconv2dWgradOperations(GenArg(gen_op, gen_type))
- for op in operations:
- f.write(' "%s.cu",\n' % op.procedural_name())
- if gen_op != "gemv":
- f.write(' "all_%s_%s_operations.cu",\n' % (gen_op, gen_type))
-
-
- if __name__ == "__main__":
- with open("list.bzl", "w") as f:
- f.write("# Generated by dnn/scripts/cutlass_generator/gen_list.py\n\n")
- f.write("cutlass_gen_list = [\n")
- write_op_list(f, "gemm", "simt")
- write_op_list(f, "gemm", "tensorop1688")
- write_op_list(f, "gemm", "tensorop884")
- write_op_list(f, "gemv", "simt")
- write_op_list(f, "deconv", "simt")
- write_op_list(f, "deconv", "tensorop8816")
- write_op_list(f, "conv2d", "simt")
- write_op_list(f, "conv2d", "tensorop8816")
- write_op_list(f, "conv2d", "tensorop8832")
- write_op_list(f, "dwconv2d_fprop", "simt")
- write_op_list(f, "dwconv2d_fprop", "tensorop884")
- write_op_list(f, "dwconv2d_dgrad", "simt")
- write_op_list(f, "dwconv2d_dgrad", "tensorop884")
- write_op_list(f, "dwconv2d_wgrad", "simt")
- write_op_list(f, "dwconv2d_wgrad", "tensorop884")
- f.write("]")
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