benchmark packed conv2D by matmul + expensive packed reshape

packedconv2dbenchmark.patch

diff --git a/integration_tests/benchmarks/benchmark_test.ts b/integration_tests/benchmarks/benchmark_test.ts
index 8148ea22..e883b11c 100644
--- a/integration_tests/benchmarks/benchmark_test.ts
+++ b/integration_tests/benchmarks/benchmark_test.ts
@@ -40,9 +40,9 @@ describe('benchmarks', () => {
   });
 
   it('conv2d', async done => {
-    const sizes = [10, 100, 227];
+    const sizes = [10, 227, 513];
     const convParams: RegularConvParams =
-        {inDepth: 16, outDepth: 32, filterSize: 5, stride: 1, pad: 'same'};
+        {inDepth: 16, outDepth: 32, filterSize: 1, stride: 1, pad: 'same'};
     const benchmark = new ConvGPUBenchmark();
 
     await test_util.benchmarkAndLog(
diff --git a/integration_tests/benchmarks/conv_benchmarks.ts b/integration_tests/benchmarks/conv_benchmarks.ts
index 3ab22dbb..35c8fbaf 100644
--- a/integration_tests/benchmarks/conv_benchmarks.ts
+++ b/integration_tests/benchmarks/conv_benchmarks.ts
@@ -38,6 +38,7 @@ export interface DepthwiseConvParams extends ConvParams {
 export class ConvGPUBenchmark implements BenchmarkTest {
   async run(size: number, opType: string, params: ConvParams): Promise<number> {
     tf.setBackend('webgl');
+    tf.ENV.set('WEBGL_PACK', true);
 
     const inDepth = params.inDepth;
     const inShape: [number, number, number] = [size, size, inDepth];