Update pytorch-metadata.json (#1526)

source/pytorch-metadata.json

@@ -7143,6 +7143,33 @@
   {
     "name": "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!)"
   },
+  {
+    "name": "cortex_m::dequantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::maximum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::minimum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::quantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::quantized_add.out(Tensor self, Scalar self_zero_point, Scalar self_multiplier, Scalar self_shift, Tensor other, Scalar other_zero_point, Scalar other_multiplier, Scalar other_shift, Scalar output_zero_point, Scalar output_multiplier, Scalar output_shift, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::quantized_conv2d.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int input_offset, int output_offset, Tensor requantize_multipliers, Tensor requantize_shifts, int activation_min, int activation_max, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::quantized_linear.out(Tensor input, Tensor weights, Tensor? bias, Tensor? kernel_sum, Scalar input_offset, Scalar filter_offset, Scalar output_offset, int[] requantize_multipliers, int[] requantize_shifts, Scalar activation_max, Scalar activation_min, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::quantized_mul.out(Tensor self, Scalar self_zero_point, Tensor other, Scalar other_zero_point, Scalar output_zero_point, Scalar output_multiplier, Scalar output_shift, *, Tensor(a!) out) -> Tensor(a!)"
+  },
+  {
+    "name": "cortex_m::transpose.out(Tensor input, int[] perm, *, Tensor(a!) out) -> Tensor(a!)"
+  },
   {
     "name": "detectron2::nms_rotated(Tensor boxes, Tensor scores, float iou_threshold) -> Tensor"
   },

tools/pytorch_script.py

@@ -70,6 +70,15 @@ known_legacy_schema_definitions = [
     "aten::set_num_threads(int nthreads) -> ()",
     "aqlm::code2x8_lut_matmat.out(Tensor input, Tensor codes, Tensor codebooks, Tensor scales, Tensor? bias, Tensor(a!) out) -> Tensor(a!)", # noqa E501
     "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!)", # noqa E501
+    "cortex_m::quantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::dequantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::quantized_add.out(Tensor self, Scalar self_zero_point, Scalar self_multiplier, Scalar self_shift, Tensor other, Scalar other_zero_point, Scalar other_multiplier, Scalar other_shift, Scalar output_zero_point, Scalar output_multiplier, Scalar output_shift, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::quantized_mul.out(Tensor self, Scalar self_zero_point, Tensor other, Scalar other_zero_point, Scalar output_zero_point, Scalar output_multiplier, Scalar output_shift, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::minimum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::maximum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::quantized_linear.out(Tensor input, Tensor weights, Tensor? bias, Tensor? kernel_sum, Scalar input_offset, Scalar filter_offset, Scalar output_offset, int[] requantize_multipliers, int[] requantize_shifts, Scalar activation_max, Scalar activation_min, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::transpose.out(Tensor input, int[] perm, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
+    "cortex_m::quantized_conv2d.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int input_offset, int output_offset, Tensor requantize_multipliers, Tensor requantize_shifts, int activation_min, int activation_max, *, Tensor(a!) out) -> Tensor(a!)", # noqa E501
     "detectron2::nms_rotated(Tensor boxes, Tensor scores, float iou_threshold) -> Tensor", # noqa E501
     "detectron2::roi_align_rotated_forward(Tensor input, Tensor rois, float spatial_scale, int pooled_height, int pooled_width, int sampling_ratio) -> Tensor", # noqa E501
     "dim_order_ops::_clone_dim_order.out(Tensor self, *, bool non_blocking=False, int[]? dim_order=None, Tensor(a!) out) -> Tensor(a!)", # noqa E501