to make TIE quantized conv operator to fall back to hifi quantized conv op instead of cpu op for shapes not supported by the TIE kernel.

Differential Revision: D74337713

Pull Request resolved: pytorch/executorch#10770

Author: wl1026sun

backends/cadence/hifi/operators/operators.h

@@ -12,6 +12,7 @@
   _(uint8_t, Byte)                           \
   _(int8_t, Char)
 
+using ::executorch::aten::IntArrayRef;
 using ::executorch::aten::optional;
 using ::executorch::aten::ScalarType;
 using ::executorch::aten::Tensor;
@@ -67,6 +68,44 @@ void quantized_linear_per_tensor_out(
     __ET_UNUSED const optional<Tensor>& offset,
     Tensor& out);
 
+void quantized_conv_out(
+    __ET_UNUSED KernelRuntimeContext& ctx,
+    const Tensor& input,
+    const Tensor& weight,
+    const Tensor& bias,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    int64_t groups,
+    int64_t in_zero_point,
+    const Tensor& weight_zero_point,
+    const Tensor& bias_scale,
+    double output_scale,
+    int64_t output_zero_point,
+    __ET_UNUSED const Tensor& out_multiplier,
+    __ET_UNUSED const Tensor& out_shift,
+    bool channel_last,
+    Tensor& out);
+
+void quantized_conv_per_tensor_out(
+    __ET_UNUSED KernelRuntimeContext& ctx,
+    const Tensor& input,
+    const Tensor& weight,
+    const Tensor& bias,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    int64_t groups,
+    int64_t in_zero_point,
+    int64_t weight_zero_point,
+    double bias_scale,
+    double output_scale,
+    int64_t output_zero_point,
+    __ET_UNUSED int64_t out_multiplier,
+    __ET_UNUSED int64_t out_shift,
+    bool channel_last,
+    Tensor& out);
+
 } // namespace native
 } // namespace HiFi
 } // namespace impl