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Support DeviceType and device_name support for non-CPU and CUDA backends #1307

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Support DeviceType and device_name support for non-CPU and CUDA backends #1307

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2 changes: 2 additions & 0 deletions tb_plugin/torch_tb_profiler/profiler/memory_parser.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,8 @@ def device_name(self):
return 'CPU'
elif self.device_type == DeviceType.CUDA:
return 'GPU{}'.format(self.device_id)
elif self.device_type is not None:
return self.device_type.name
else:
return None

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21 changes: 20 additions & 1 deletion tb_plugin/torch_tb_profiler/profiler/trace.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,26 @@

class DeviceType(IntEnum):
CPU = 0
CUDA = 1
CUDA = 1 # CUDA.
MKLDNN = 2 # Reserved for explicit MKLDNN
OPENGL = 3 # OpenGL
OPENCL = 4 # OpenCL
IDEEP = 5 # IDEEP.
HIP = 6 # AMD HIP
FPGA = 7 # FPGA
MAIA = 8 # ONNX Runtime / Microsoft
XLA = 9 # XLA / TPU
Vulkan = 10 # Vulkan
Metal = 11 # Metal
XPU = 12 # XPU
MPS = 13 # MPS
Meta = 14 # Meta (tensors with no data)
HPU = 15 # HPU / HABANA
VE = 16 # SX-Aurora / NEC
Lazy = 17 # Lazy Tensors
IPU = 18 # Graphcore IPU
MTIA = 19 # Meta training and inference devices
PrivateUse1 = 20 # PrivateUse1 device


class EventTypes:
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