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PiperOrigin-RevId: 601178210
Change-Id: Ic49845aa14378fb1dcac5f06476f1d61a04c498f

Author: qkeras-robot

qkeras/qmodel.proto

@@ -0,0 +1,63 @@
+// Copyright 2019 Google LLC
+//
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+// ==============================================================================
+syntax = "proto2";
+
+package qkeras;
+
+import "google/protobuf/any.proto";
+
+// Protobuf to represent a quantized machine learning model.
+message QModel {
+  // Layers of a quantized model.
+  repeated QLayer qlayers = 1;
+}
+
+// Protobuf to represent an individual layer that supports quantization.
+//
+// TODO(akshayap): Add platform agnostic way of saving weights, ideally
+// something that can mimic numpy arrays.
+message QLayer {
+  // Layer name.
+  optional string name = 1;
+  // Input shape for the layer.
+  repeated int32 input_shape = 2 [packed = true];
+  // Output shape for the layer.
+  repeated int32 output_shape = 3 [packed = true];
+  // Quantization configuration for this layer.
+  optional Quantization quantization = 4;
+  // Harware parameters associated with this layer.
+  optional HardwareParams hw_params = 5;
+  // Model specific custom details.
+  optional google.protobuf.Any details = 6;
+}
+
+// Qantization configurations for a model layer.
+message Quantization {
+  // Number of bits to perform quantization.
+  optional int32 bits = 1;
+  // Number of bits to the left of the decimal point.
+  optional int32 integer = 2;
+  // The minimum allowed power of two exponent
+  optional int32 min_po2 = 3;
+  // The maximum allowed power of two exponent
+  optional int32 max_po2 = 4;
+}
+
+// Parameters for hardware synthesis of machine learning models.
+message HardwareParams {
+  // MAC bitwidth.
+  optional int32 mac_bitwidth = 1;
+}