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Return self in InferInput setters for chain-initialization #378

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merged 1 commit into from
Aug 7, 2023
Merged

Return self in InferInput setters for chain-initialization #378

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17 changes: 17 additions & 0 deletions src/python/library/tritonclient/grpc/_infer_input.py
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Original file line number Diff line number Diff line change
Expand Up @@ -93,9 +93,15 @@ def set_shape(self, shape):
----------
shape : list
The shape of the associated input.

Returns
-------
InferInput
The updated input
"""
self._input.ClearField("shape")
self._input.shape.extend(shape)
return self

def set_data_from_numpy(self, input_tensor):
"""Set the tensor data from the specified numpy array for
Expand All @@ -106,6 +112,11 @@ def set_data_from_numpy(self, input_tensor):
input_tensor : numpy array
The tensor data in numpy array format

Returns
-------
InferInput
The updated input

Raises
------
InferenceServerException
Expand Down Expand Up @@ -160,6 +171,7 @@ def set_data_from_numpy(self, input_tensor):
self._raw_content = b""
else:
self._raw_content = input_tensor.tobytes()
return self

def set_shared_memory(self, region_name, byte_size, offset=0):
"""Set the tensor data from the specified shared memory region.
Expand All @@ -174,6 +186,10 @@ def set_shared_memory(self, region_name, byte_size, offset=0):
The offset, in bytes, into the region where the data for
the tensor starts. The default value is 0.

Returns
-------
InferInput
The updated input
"""
self._input.ClearField("contents")
self._raw_content = None
Expand All @@ -182,6 +198,7 @@ def set_shared_memory(self, region_name, byte_size, offset=0):
self._input.parameters["shared_memory_byte_size"].int64_param = byte_size
if offset != 0:
self._input.parameters["shared_memory_offset"].int64_param = offset
return self

def _get_tensor(self):
"""Retrieve the underlying InferInputTensor message.
Expand Down
17 changes: 17 additions & 0 deletions src/python/library/tritonclient/http/_infer_input.py
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Original file line number Diff line number Diff line change
Expand Up @@ -94,8 +94,14 @@ def set_shape(self, shape):
----------
shape : list
The shape of the associated input.

Returns
-------
InferInput
The updated input
"""
self._shape = shape
return self

def set_data_from_numpy(self, input_tensor, binary_data=True):
"""Set the tensor data from the specified numpy array for
Expand All @@ -111,6 +117,11 @@ def set_data_from_numpy(self, input_tensor, binary_data=True):
which means the data will be delivered as binary data in the
HTTP body after the JSON object.

Returns
-------
InferInput
The updated input

Raises
------
InferenceServerException
Expand Down Expand Up @@ -200,6 +211,7 @@ def set_data_from_numpy(self, input_tensor, binary_data=True):
else:
self._raw_data = input_tensor.tobytes()
self._parameters["binary_data_size"] = len(self._raw_data)
return self

def set_shared_memory(self, region_name, byte_size, offset=0):
"""Set the tensor data from the specified shared memory region.
Expand All @@ -214,6 +226,10 @@ def set_shared_memory(self, region_name, byte_size, offset=0):
The offset, in bytes, into the region where the data for
the tensor starts. The default value is 0.

Returns
-------
InferInput
The updated input
"""
self._data = None
self._raw_data = None
Expand All @@ -223,6 +239,7 @@ def set_shared_memory(self, region_name, byte_size, offset=0):
self._parameters["shared_memory_byte_size"] = byte_size
if offset != 0:
self._parameters["shared_memory_offset"] = offset
return self

def _get_binary_data(self):
"""Returns the raw binary data if available
Expand Down
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