Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[TFLite] Quantized unary elemwise ops #10566

Merged
merged 2 commits into from
Mar 14, 2022
Merged

[TFLite] Quantized unary elemwise ops #10566

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
e955452
[TFLite] Quantized unary elemwise ops
leeexyz Mar 10, 2022
360c590
fix cos
leeexyz Mar 11, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 0 additions & 18 deletions python/tvm/relay/frontend/tflite.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1141,36 +1141,22 @@ def convert_abs(self, op):

def convert_ceil(self, op):
"""Convert TFLite CEIL"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented("TFlite quantized CEIL operator is not supported yet.")
return self._convert_unary_elemwise(_op.ceil, op)

def convert_floor(self, op):
"""Convert TFLite FLOOR"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented(
"TFlite quantized FLOOR operator is not supported yet."
)
return self._convert_unary_elemwise(_op.floor, op)

def convert_round(self, op):
"""Convert TFLite ROUND"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented(
"TFlite quantized ROUND operator is not supported yet."
)
return self._convert_unary_elemwise(_op.round, op)

def convert_exp(self, op):
"""Convert TFLite EXP"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented("TFlite quantized EXP operator is not supported yet.")
return self._convert_unary_elemwise(_op.exp, op)

def convert_log(self, op):
"""Convert TFLite LOG"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented("TFlite quantized LOG operator is not supported yet.")
return self._convert_unary_elemwise(_op.log, op)

def convert_sin(self, op):
Expand All @@ -1179,14 +1165,10 @@ def convert_sin(self, op):

def convert_tan(self, op):
"""Convert TFLite TAN"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented("TFlite quantized TAN operator is not supported yet.")
return self._convert_unary_elemwise(_op.tan, op)

def convert_cos(self, op):
"""Convert TFLite COS"""
if self.is_quantized(op):
raise tvm.error.OpNotImplemented("TFlite quantized COS operator is not supported yet.")
return self._convert_unary_elemwise(_op.cos, op)

def convert_sqrt(self, op):
Expand Down
Loading