|  | 
| 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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