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.

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

rename input_dict, document parameter #363

Merged
merged 1 commit into from
Feb 4, 2025
Merged
Changes from all commits
Commits
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
14 changes: 7 additions & 7 deletions einops/_backends.py
Original file line number Diff line number Diff line change
Expand Up @@ -77,7 +77,8 @@ def to_numpy(self, x):
def create_symbol(self, shape):
raise NotImplementedError("framework doesn't support symbolic computations")

def eval_symbol(self, symbol, input_dict):
def eval_symbol(self, symbol, symbol_value_pairs):
# symbol-value pairs is list[tuple[symbol, value-tensor]]
raise NotImplementedError("framework doesn't support symbolic computations")

def arange(self, start, stop):
Expand Down Expand Up @@ -431,9 +432,9 @@ def is_appropriate_type(self, tensor):
def create_symbol(self, shape):
return self.keras.Input(batch_shape=shape)

def eval_symbol(self, symbol, input_dict):
model = self.keras.models.Model([var for (var, _) in input_dict], symbol)
return model.predict_on_batch([val for (_, val) in input_dict])
def eval_symbol(self, symbol, symbol_value_pairs):
model = self.keras.models.Model([var for (var, _) in symbol_value_pairs], symbol)
return model.predict_on_batch([val for (_, val) in symbol_value_pairs])

def arange(self, start, stop):
return self.K.arange(start, stop)
Expand Down Expand Up @@ -689,9 +690,8 @@ def create_symbol(self, shape):
shape = (shape,)
return self.pt.tensor(shape=shape)

def eval_symbol(self, symbol, input_dict):
# input_dict is actually a list of tuple?
return symbol.eval(dict(input_dict))
def eval_symbol(self, symbol, symbol_value_pairs):
return symbol.eval(dict(symbol_value_pairs))

def arange(self, start, stop):
return self.pt.arange(start, stop)
Expand Down