|
142 | 142 | - arg_meta: null |
143 | 143 | kernel_name: torch::executor::where_out |
144 | 144 |
|
145 | | -- op: transpose_copy.int_out |
146 | | - kernels: |
147 | | - - arg_meta: null |
148 | | - kernel_name: torch::executor::transpose_copy_int_out |
149 | | - |
150 | | -- op: eq.Scalar_out |
151 | | - kernels: |
152 | | - - arg_meta: null |
153 | | - kernel_name: torch::executor::eq_scalar_out |
154 | | - |
155 | | -- op: logical_not.out |
156 | | - kernels: |
157 | | - - arg_meta: null |
158 | | - kernel_name: torch::executor::logical_not_out |
159 | | - |
160 | | -- op: any.out |
161 | | - kernels: |
162 | | - - arg_meta: null |
163 | | - kernel_name: torch::executor::any_out |
164 | | - |
165 | | -- op: native_group_norm.out |
166 | | - kernels: |
167 | | - - arg_meta: null |
168 | | - kernel_name: torch::executor::native_group_norm_out |
169 | | - |
170 | | -- op: sum.IntList_out |
171 | | - kernels: |
172 | | - - arg_meta: null |
173 | | - kernel_name: torch::executor::sum_dim_out |
174 | | - |
175 | | -- op: select_copy.int_out |
176 | | - kernels: |
177 | | - - arg_meta: null |
178 | | - kernel_name: torch::executor::select_copy_int_out |
179 | | - |
180 | 145 | # custom ops |
181 | 146 | - func: cadence::quantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
182 | 147 | variants: function |
|
218 | 183 | kernels: |
219 | 184 | - arg_meta: null |
220 | 185 | kernel_name: impl::reference::quantized_matmul_out |
221 | | - |
222 | | -- 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!) |
223 | | - kernels: |
224 | | - - arg_meta: null |
225 | | - kernel_name: impl::reference::quantized_linear_per_tensor_out |
226 | | - |
227 | | -- 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!) |
228 | | - kernels: |
229 | | - - arg_meta: null |
230 | | - kernel_name: impl::reference::im2row_out |
231 | | - |
232 | | -- 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!) |
233 | | - kernels: |
234 | | - - arg_meta: null |
235 | | - kernel_name: impl::reference::quantized_conv_per_tensor_out |
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