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Searched refs:BATCH (Results 1 – 7 of 7) sorted by relevance

/external/openssh/regress/
Dsftp-batch.sh6 BATCH=${OBJ}/sftp.bb
8 rm -rf ${COPY} ${COPY}.1 ${COPY}.2 ${COPY}.dd ${BATCH}.*
10 cat << EOF > ${BATCH}.pass.1
17 cat << EOF > ${BATCH}.pass.2
24 cat << EOF > ${BATCH}.fail.1
32 cat << EOF > ${BATCH}.fail.2
38 ${SFTP} -b ${BATCH}.pass.1 -D ${SFTPSERVER} >/dev/null 2>&1 \
42 ${SFTP} -b ${BATCH}.fail.1 -D ${SFTPSERVER} >/dev/null 2>&1 \
46 ${SFTP} -b ${BATCH}.pass.2 -D ${SFTPSERVER} >/dev/null 2>&1 \
50 ${SFTP} -b ${BATCH}.fail.2 -D ${SFTPSERVER} >/dev/null 2>&1 \
[all …]
/external/tensorflow/tensorflow/core/kernels/
Dxent_op_test.cc36 #define BM_XentDev(BATCH, CLASS, DEVICE) \ argument
37 static void BM_Xent##_##BATCH##_##CLASS##_##DEVICE(int iters) { \
38 testing::ItemsProcessed(static_cast<int64>(iters) * BATCH * CLASS); \
39 test::Benchmark(#DEVICE, Xent(BATCH, CLASS)).Run(iters); \
41 BENCHMARK(BM_Xent##_##BATCH##_##CLASS##_##DEVICE);
Dresize_bicubic_op_test.cc268 #define BM_ResizeBicubicDev(BATCH, SIZE, CHANNELS) \ argument
269 static void BM_ResizeBicubic##_##BATCH##_##SIZE##_##CHANNELS(int iters) { \
270 testing::ItemsProcessed(static_cast<int64>(iters) * BATCH * SIZE * SIZE * \
272 test::Benchmark("cpu", ResizeBicubic(BATCH, SIZE, CHANNELS)).Run(iters); \
274 BENCHMARK(BM_ResizeBicubic##_##BATCH##_##SIZE##_##CHANNELS);
289 #define BM_ResizeBicubicExpand(BATCH, SIZE, CHANNELS) \ argument
290 static void BM_ResizeBicubicExpand##_##BATCH##_##SIZE##_##CHANNELS( \
292 testing::ItemsProcessed(static_cast<int64>(iters) * BATCH * SIZE * SIZE * \
294 test::Benchmark("cpu", ResizeBicubic(BATCH, SIZE, CHANNELS, 8, 8)) \
297 BENCHMARK(BM_ResizeBicubicExpand##_##BATCH##_##SIZE##_##CHANNELS);
Dsparse_xent_op_test.cc44 #define BM_SparseXentDev(BATCH, CLASS, DEVICE) \ argument
45 static void BM_SparseXent##_##BATCH##_##CLASS##_##DEVICE(int iters) { \
46 testing::ItemsProcessed(static_cast<int64>(iters) * BATCH * CLASS); \
47 test::Benchmark(#DEVICE, SparseXent(BATCH, CLASS)).Run(iters); \
49 BENCHMARK(BM_SparseXent##_##BATCH##_##CLASS##_##DEVICE);
Dlrn_op_test.cc173 #define TCASE(NAME, DEPTH, BATCH, DEPTH_RADIUS, BIAS, ALPHA, BETA) \ argument
183 AddInput<float>(TensorShape({BATCH, 1, 1, DEPTH}), \
Dnn_ops_test.cc787 #define BM_LRNFloatFwdCPU(DEPTH, COLS, ROWS, BATCH, RANGE, THREADS, LABEL) \ argument
789 BM_LRNFloat_##DEPTH##_##COLS##_##ROWS##_##BATCH##_##RANGE##_##THREADS( \
791 BM_LRNFloat(iters, DEPTH, COLS, ROWS, BATCH, RANGE, THREADS, LABEL); \
794 BM_LRNFloat_##DEPTH##_##COLS##_##ROWS##_##BATCH##_##RANGE##_##THREADS)
/external/libpng/scripts/
Dmakefile.amiga20 LDFLAGS= SD ND BATCH