|
20 | 20 | - op: _softmax.out |
21 | 21 | kernels: |
22 | 22 | - arg_meta: null |
23 | | - kernel_name: impl::vision::native::_softmax_out |
| 23 | + kernel_name: impl::vision::_softmax_out |
24 | 24 |
|
25 | 25 | - op: add.out |
26 | 26 | kernels: |
27 | 27 | - arg_meta: null |
28 | | - kernel_name: impl::vision::native::add_out |
| 28 | + kernel_name: impl::vision::add_out |
29 | 29 |
|
30 | 30 | - op: bmm.out |
31 | 31 | kernels: |
|
55 | 55 | - op: embedding.out |
56 | 56 | kernels: |
57 | 57 | - arg_meta: null |
58 | | - kernel_name: impl::vision::native::embedding_out |
| 58 | + kernel_name: impl::vision::embedding_out |
59 | 59 |
|
60 | 60 | - op: empty.out |
61 | 61 | kernels: |
|
70 | 70 | - op: full.out |
71 | 71 | kernels: |
72 | 72 | - arg_meta: null |
73 | | - kernel_name: impl::vision::native::full_out |
| 73 | + kernel_name: impl::vision::full_out |
74 | 74 |
|
75 | 75 | - op: gelu.out |
76 | 76 | kernels: |
|
135 | 135 | - op: view_copy.out |
136 | 136 | kernels: |
137 | 137 | - arg_meta: null |
138 | | - kernel_name: impl::vision::native::view_copy_out |
| 138 | + kernel_name: impl::vision::view_copy_out |
139 | 139 |
|
140 | 140 | - op: where.self_out |
141 | 141 | kernels: |
|
182 | 182 | variants: function |
183 | 183 | kernels: |
184 | 184 | - arg_meta: null |
185 | | - kernel_name: impl::vision::native::quantize_per_tensor_out |
| 185 | + kernel_name: impl::vision::quantize_per_tensor_out |
186 | 186 |
|
187 | 187 | - func: cadence::dequantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
188 | 188 | variants: function |
189 | 189 | kernels: |
190 | 190 | - arg_meta: null |
191 | | - kernel_name: impl::vision::native::dequantize_per_tensor_out |
| 191 | + kernel_name: impl::vision::dequantize_per_tensor_out |
192 | 192 |
|
193 | 193 | - func: cadence::quantized_conv.out(Tensor input, Tensor weight, Tensor bias, int[] stride, SymInt[] padding, int[] dilation, int groups, int input_zero_point, Tensor weight_zero_point, Tensor bias_scale, float out_scale, int out_zero_point, Tensor out_multiplier, Tensor out_shift, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!) |
194 | 194 | kernels: |
195 | 195 | - arg_meta: null |
196 | | - kernel_name: impl::vision::native::quantized_conv_out |
| 196 | + kernel_name: impl::vision::quantized_conv_out |
197 | 197 |
|
198 | 198 | - func: cadence::quantized_conv2d_nchw.out(Tensor input, Tensor weight, Tensor bias, int[] stride, SymInt[] padding, int[] dilation, int groups, int input_zero_point, Tensor weight_zero_point, Tensor bias_scale, float out_scale, int out_zero_point, Tensor out_multiplier, Tensor out_shift, *, Tensor(a!) out) -> Tensor(a!) |
199 | 199 | kernels: |
200 | 200 | - arg_meta: null |
201 | | - kernel_name: impl::vision::native::quantized_conv2d_nchw_out |
| 201 | + kernel_name: impl::vision::quantized_conv2d_nchw_out |
202 | 202 |
|
203 | 203 | - func: cadence::quantized_conv2d_nhwc.out(Tensor input, Tensor weight, Tensor bias, int[] stride, SymInt[] padding, int[] dilation, int groups, int input_zero_point, Tensor weight_zero_point, Tensor bias_scale, float out_scale, int out_zero_point, Tensor out_multiplier, Tensor out_shift, *, Tensor(a!) out) -> Tensor(a!) |
204 | 204 | kernels: |
205 | 205 | - arg_meta: null |
206 | | - kernel_name: impl::vision::native::quantized_conv2d_nhwc_out |
| 206 | + kernel_name: impl::vision::quantized_conv2d_nhwc_out |
207 | 207 |
|
208 | 208 | - func: cadence::quantized_layer_norm.out(Tensor input, Tensor in_scale, Tensor in_zero_point, int[] normalized_shape, Tensor weight, Tensor bias, float eps, float output_scale, int output_zero_point, *, Tensor(a!) out) -> Tensor(a!) |
209 | 209 | kernels: |
210 | 210 | - arg_meta: null |
211 | | - kernel_name: impl::vision::native::quantized_layer_norm_out |
| 211 | + kernel_name: impl::vision::quantized_layer_norm_out |
212 | 212 | - func: cadence::quantized_layer_norm.per_tensor_out(Tensor input, float in_scale, int in_zero_point, int[] normalized_shape, Tensor weight, Tensor bias, float eps, float output_scale, int output_zero_point, *, Tensor(a!) out) -> Tensor(a!) |
213 | 213 | kernels: |
214 | 214 | - arg_meta: null |
215 | | - kernel_name: impl::vision::native::quantized_layer_norm_per_tensor_out |
| 215 | + kernel_name: impl::vision::quantized_layer_norm_per_tensor_out |
216 | 216 |
|
217 | 217 | - func: cadence::quantized_linear.out(Tensor src, Tensor weight, Tensor bias, int src_zero_point, Tensor weight_zero_point, Tensor out_multiplier, Tensor out_shift, int out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!) |
218 | 218 | kernels: |
219 | 219 | - arg_meta: null |
220 | | - kernel_name: impl::vision::native::quantized_linear_out |
| 220 | + kernel_name: impl::vision::quantized_linear_out |
221 | 221 |
|
222 | 222 | - func: cadence::quantized_relu.out(Tensor X, Tensor X_zero_point, int out_zero_point, Tensor out_multiplier, Tensor out_shift, *, Tensor(a!) out) -> Tensor(a!) |
223 | 223 | kernels: |
224 | 224 | - arg_meta: null |
225 | | - kernel_name: impl::vision::native::quantized_relu_out |
| 225 | + kernel_name: impl::vision::quantized_relu_out |
226 | 226 |
|
227 | 227 | - func: cadence::quantized_relu.per_tensor_out(Tensor X, int X_zero_point, int out_zero_point, int out_multiplier, int out_shift, *, Tensor(a!) out) -> Tensor(a!) |
228 | 228 | kernels: |
229 | 229 | - arg_meta: null |
230 | | - kernel_name: impl::vision::native::quantized_relu_per_tensor_out |
| 230 | + kernel_name: impl::vision::quantized_relu_per_tensor_out |
231 | 231 |
|
232 | 232 | - func: cadence::quantized_matmul.out(Tensor X, int X_zero_point, Tensor Y, int Y_zero_point, Tensor? bias, int out_multiplier, int out_shift, int out_zero_point, bool transposed, *, Tensor(a!) out) -> Tensor(a!) |
233 | 233 | kernels: |
234 | 234 | - arg_meta: null |
235 | | - kernel_name: impl::vision::native::quantized_matmul_out |
| 235 | + kernel_name: impl::vision::quantized_matmul_out |
236 | 236 |
|
237 | 237 | - func: cadence::quantized_linear.per_tensor_out(Tensor src, Tensor weight, Tensor bias, SymInt src_zero_point, SymInt weight_zero_point, SymInt out_multiplier, SymInt out_shift, SymInt out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!) |
238 | 238 | kernels: |
239 | 239 | - arg_meta: null |
240 | | - kernel_name: impl::vision::native::quantized_linear_per_tensor_out |
| 240 | + kernel_name: impl::vision::quantized_linear_per_tensor_out |
241 | 241 |
|
242 | 242 | - func: cadence::im2row.out(Tensor input, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, Tensor in_zero_point, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!) |
243 | 243 | kernels: |
244 | 244 | - arg_meta: null |
245 | | - kernel_name: impl::vision::native::im2row_out |
| 245 | + kernel_name: impl::vision::im2row_out |
246 | 246 |
|
247 | 247 | - func: cadence::im2row.per_tensor_out(Tensor input, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, int in_zero_point, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!) |
248 | 248 | kernels: |
249 | 249 | - arg_meta: null |
250 | | - kernel_name: impl::vision::native::im2row_per_tensor_out |
| 250 | + kernel_name: impl::vision::im2row_per_tensor_out |
251 | 251 |
|
252 | 252 | - func: cadence::quantized_conv.per_tensor_out(Tensor input, Tensor weight, Tensor bias, int[] stride, SymInt[] padding, int[] dilation, int groups, int input_zero_point, int weight_zero_point, float bias_scale, float out_scale, int out_zero_point, int out_multiplier, int out_shift, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!) |
253 | 253 | kernels: |
254 | 254 | - arg_meta: null |
255 | | - kernel_name: impl::vision::native::quantized_conv_per_tensor_out |
| 255 | + kernel_name: impl::vision::quantized_conv_per_tensor_out |
256 | 256 |
|
257 | 257 | - func: cadence::quantized_fully_connected.out(Tensor src, Tensor weight, Tensor bias, int src_zero_point, Tensor weight_zero_point, Tensor out_multiplier, Tensor out_shift, int out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!) |
258 | 258 | kernels: |
259 | 259 | - arg_meta: null |
260 | | - kernel_name: impl::vision::native::quantized_fully_connected_out |
| 260 | + kernel_name: impl::vision::quantized_fully_connected_out |
261 | 261 |
|
262 | 262 | - func: cadence::quantized_fully_connected.per_tensor_out(Tensor src, Tensor weight, Tensor bias, int src_zero_point, int weight_zero_point, int out_multiplier, int out_shift, int out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!) |
263 | 263 | kernels: |
264 | 264 | - arg_meta: null |
265 | | - kernel_name: impl::vision::native::quantized_fully_connected_per_tensor_out |
| 265 | + kernel_name: impl::vision::quantized_fully_connected_per_tensor_out |
266 | 266 |
|
267 | 267 | - func: cadence::requantize.out(Tensor input, Tensor in_scale, Tensor in_zero_point, Tensor out_scale, Tensor out_zero_point, ScalarType out_dtype, *, Tensor(a!) out) -> Tensor(a!) |
268 | 268 | kernels: |
269 | 269 | - arg_meta: null |
270 | | - kernel_name: impl::vision::native::requantize_out |
| 270 | + kernel_name: impl::vision::requantize_out |
271 | 271 |
|
272 | 272 | - func: cadence::requantize.per_tensor_out(Tensor input, float in_scale, int in_zero_point, float out_scale, int out_zero_point, ScalarType out_dtype, *, Tensor(a!) out) -> Tensor(a!) |
273 | 273 | kernels: |
274 | 274 | - arg_meta: null |
275 | | - kernel_name: impl::vision::native::requantize_per_tensor_out |
| 275 | + kernel_name: impl::vision::requantize_per_tensor_out |
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