Lines Matching full:same
177 | aten::_convolution | same as onnx Conv |
181 | aten::adaptive_avg_pool2d | same as onnx AveragePool |
183 | aten::adaptive_max_pool2d | same as onnx MaxPool |
184 | aten::add | same as onnx Add |
186 | aten::addmm | same as onnx Gemm |
192 | aten::avg_pool2d | same as onnx AveragePool |
194 | aten::batch_norm | same as onnx BatchNormalization |
195 | aten::bmm | same as onnx MatMul |
196 | aten::cat | same as onnx Concat |
207 | aten::constant_pad_nd | same as onnx Pad |
215 | aten::div | same as onnx Div |
220 | aten::elu | same as onnx Elu |
222 | aten::embedding | same as onnx Gather |
255 | aten::hardswish | same as onnx HardSwish |
262 | aten::instance_norm | same as onnx InstanceNormalization |
267 | aten::leaky_relu | same as onnx LeakyRelu |
281 | aten::linear | same as onnx Gemm |
282 | aten::lstm | same as onnx LSTM |
285 | aten::matmul | same as onnx MatMul |
289 | aten::max_pool1d | same as onnx MaxPool |
291 | aten::max_pool2d | same as onnx MaxPool |
293 | aten::mean | same as onnx ReduceMean |
299 | aten::mm | same as onnx MatMul |
300 | aten::mul | same as onnx Mul |
302 | aten::narrow | same as onnx Slice |
314 | aten::permute | same as onnx Transpose |
317 | aten::prelu | same as onnx PRelu |
324 | aten::relu | same as onnx Relu |
325 | aten::relu6 | same as onnx Relu |
338 | aten::sigmoid | same as onnx Sigmoid |
345 | aten::slice | same as onnx Slice |
346 | aten::softmax | same as onnx Softmax |
350 | aten::split | same as onnx Split |
357 | aten::sub | same as onnx Sub |
359 | aten::sum | same as onnx ReduceSum |
370 | aten::true_divide | same as onnx Div |
397 | BatchNorm | same as onnx BatchNormalization …
398 | bn (BatchNorm + Scale) | same as onnx BatchNormalization according to https://github.com/TimoSaem…
400 | Concat | same as onnx Concat …
401 | Convolution | same as onnx Conv …
402 | ConvolutionDepthwise | kernel height/width: [1, 8]<br />others same as onnx Conv …
404 | Deconvolution | same as ConvTranspose …
409 | InnerProduct | same as onnx Gemm …
410 | LRN | same as onnx LRN …
411 | Lstm | same as onnx LSTM according to https://github.com/xmfbit/warpctc-caffe …
413 | Permute | same as onnx Transpose …
415 | Pooling | same as onnx pooling …
416 | PRelu | same as onnx PRelu …
419 | Relu | same as onnx Relu …
420 | Relu6 | same as onnx Clip …
422 | Reshape | same as onnx Reshape …
425 | ROIPooling | same as MaxRoiPool according to https://github.com/twmht/caffe-pva-faste…
426 | Scale | same as onnx Mul …
427 | Sigmoid | same as onnx Sigmoid …
428 | Slice | same as onnx Split …
429 | Softmax | same as onnx Softmax …
430 | Split | same as onnx Slice …
431 | TanH | same as onnx TanH …
432 | Tile | same as onnx Tile …
433 | Transpose | same as onnx Transpose …
444 | Add | same as onnx Add |
445 | AvgPool | same as onnx AveragePool |
446 | Concat | same as onnx Concat |
447 | Conv2D | same as onnx Conv |
449 | DepthwiseConv2d | kernel height/width: [1, 8]<br />others same as onnx Conv |
450 | Div | same as onnx Div |
453 | LeakyRelu | same as onnx LeakyRelu |
454 | Less | same as onnx Less |
457 | MaxPool | same as onnx MaxPool |
459 | Pad | same as onnx Pad |
460 | Relu | same as onnx Relu |
467 | Softplus | same as onnx Softplus |
472 | Tanh | same as onnx TanH |
480 | add | same as onnx Add …
481 | batchnormalize | same as onnx BatchNormalization …
482 | concat | same as onnx Concat …
483 | convolutional | same as onnx Conv …
484 | depthwise_convolutional | kernel height/width: [1, 8]<br />others same as onnx Conv …
486 | leakyrelu | same as onnx LeakyRelu …
488 …eragePool**: same as onnx AveragePool <br /> **GlobalAveragePool**: same as onnx GlobalAveragePo…