use fix for tf.maximum for now in leaky relu

src/NetInput.ts

@@ -86,6 +86,18 @@ export class NetInput {
     return this._inputSize
   }
 
+  public get relativePaddings(): Point[] {
+    return Array(this.inputs.length).fill(0).map(
+      (_, batchIdx) => this.getRelativePaddings(batchIdx)
+    )
+  }
+
+  public get reshapedInputDimensions(): Dimensions[] {
+    return Array(this.inputs.length).fill(0).map(
+      (_, batchIdx) => this.getReshapedInputDimensions(batchIdx)
+    )
+  }
+
   public getInputDimensions(batchIdx: number): number[] {
     return this._inputDimensions[batchIdx]
   }

src/tinyYolov2/leaky.ts

@@ -2,6 +2,8 @@ import * as tf from '@tensorflow/tfjs-core';
 
 export function leaky(x: tf.Tensor4D): tf.Tensor4D {
   return tf.tidy(() => {
-    return tf.maximum(x, tf.mul(x, tf.scalar(0.10000000149011612)))
+    const min = tf.mul(x, tf.scalar(0.10000000149011612))
+    return tf.add(tf.relu(tf.sub(x, min)), min)
+    //return tf.maximum(x, min)
   })
 }
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