[webgpu] Add unpack

FEATURE

Author: axinging

tfjs-backend-webgpu/src/kernels/Pack.ts

@@ -54,7 +54,7 @@ export function pack(
 
   const result = concat({inputs: expandedTensors, backend, attrs: {axis}});
 
-  intermediateTensorInfos.forEach(t => backend.disposeData(t));
+  intermediateTensorInfos.forEach(t => backend.disposeData(t.dataId));
 
   return result;
 }

tfjs-backend-webgpu/src/kernels/Unpack.ts

@@ -0,0 +1,73 @@
+/**
+ * @license
+ * Copyright 2021 Google LLC. All Rights Reserved.
+ * 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.
+ * =============================================================================
+ */
+
+import {KernelConfig, KernelFunc, TensorInfo, Unpack, UnpackAttrs, UnpackInputs} from '@tensorflow/tfjs-core';
+
+import {WebGPUBackend} from '../backend_webgpu';
+
+import {reshape} from './Reshape';
+import {slice} from './Slice';
+
+export function unpack(
+    args:
+        {inputs: UnpackInputs, backend: WebGPUBackend, attrs: UnpackAttrs}):
+    TensorInfo[] {
+  const {inputs, backend, attrs} = args;
+  const {value} = inputs;
+  let {axis} = attrs;
+
+  if (axis < 0) {
+    axis += value.shape.length;
+  }
+
+  const x = value;
+  const xRank = x.shape.length;
+
+  const num = value.shape[axis];
+  const outShape: number[] = new Array(xRank - 1);
+  let outIndex = 0;
+  for (let i = 0; i < xRank; i++) {
+    if (i !== axis) {
+      outShape[outIndex++] = x.shape[i];
+    }
+  }
+
+  const toDispose = [];
+
+  const begin = new Array(xRank).fill(0);
+  const size = x.shape.slice();
+  size[axis] = 1;
+  const res: TensorInfo[] = new Array(num);
+  for (let i = 0; i < res.length; i++) {
+    begin[axis] = i;
+    const sliced = slice({inputs: {x}, backend, attrs: {begin, size}});
+    const reshaped =
+        reshape({inputs: {x: sliced}, backend, attrs: {shape: outShape}});
+    res[i] = reshaped;
+
+    toDispose.push(sliced);
+  }
+
+  toDispose.forEach(t => backend.disposeData(t.dataId));
+  return res;
+}
+
+export const unpackConfig: KernelConfig = {
+  kernelName: Unpack,
+  backendName: 'webgpu',
+  kernelFunc: unpack as {} as KernelFunc
+};

tfjs-backend-webgpu/src/register_all_kernels.ts

@@ -84,6 +84,7 @@ import {subConfig} from './kernels/Sub';
 import {sumConfig} from './kernels/Sum';
 import {tanhConfig} from './kernels/Tanh';
 import {transposeConfig} from './kernels/Transpose';
+import {unpackConfig} from './kernels/Unpack';
 import {zerosLikeConfig} from './kernels/ZerosLike';
 
 // List all kernel configs here
@@ -156,6 +157,7 @@ const kernelConfigs: KernelConfig[] = [
   sumConfig,
   tanhConfig,
   transposeConfig,
+  unpackConfig,
   zerosLikeConfig
 ];
 

tfjs-backend-webgpu/src/setup_test.ts

@@ -523,7 +523,18 @@ const TEST_FILTERS: TestFilter[] = [
     include: 'stack',
     excludes: [
       'accepts string',
-      'unstack',
+      'grad of unstack axis=0', // Remove this when grad is fixed in unstack.
+      'gradient with clones',   // Remove this when grad is fixed in unstack.
+      'grad of unstack axis=1', // Remove this when grad is fixed in unstack.
+    ]
+  },
+  {
+    include: 'unstack',
+    excludes: [
+      'accepts string',
+      'grad of unstack axis=0',
+      'gradient with clones',
+      'grad of unstack axis=1',
     ]
   },
   {