Tensor Operation
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Tensor Operation has 3 facts recorded in Dontopedia across 2 references.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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rdf:typeRdf:type(4)
- Device Transfer
ex:device-transfer - Final Concatenation
ex:final-concatenation - Slice Operation
ex:slice-operation - Tensor Slicing
ex:tensor-slicing
Other facts (3)
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References (2)
ctx:claims/beam/04d01b28-d52f-49e9-b6a7-b036cffd9b17- full textbeam-chunktext/plain1 KB
doc:beam/04d01b28-d52f-49e9-b6a7-b036cffd9b17Show excerpt
chunks = [] for i in range(0, len(input_ids[0]), self.max_tokens): chunk_ids = input_ids[0][i:i+self.max_tokens] chunk_mask = attention_mask[0][_][i:i+self.max_tokens] chunks.append((chunk…
ctx:claims/beam/b729dc6d-53ff-42db-95a2-0b4b64111a65- full textbeam-chunktext/plain1 KB
doc:beam/b729dc6d-53ff-42db-95a2-0b4b64111a65Show excerpt
self.fc3 = nn.Linear(32, 1) self.dropout = nn.Dropout(0.5) def forward(self, x): x = torch.relu(self.fc1(x)) x = self.dropout(x) x = torch.relu(self.fc2(x)) x = self.dropout(x) x …
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