/external/fio/oslib/ |
inet_aton.c | 3 int inet_aton(const char *cp, struct in_addr *inp) 5 return inet_pton(AF_INET, cp, inp);
|
inet_aton.h | 6 int inet_aton(const char *cp, struct in_addr *inp);
|
/external/libxaac/decoder/armv7/ |
ixheaacd_aac_ld_dec_rearrange.s | 28 LDMIA r4, {r12, r14} @ r12 = inp[idx] and r14 = inp[idx+1] 29 STMIA r1!, {r12, r14} @ *buf1++ = inp[idx] and *buf1++ = inp[idx+1] 30 LDMIA r5, {r12, r14} @ r12 = inp[idx] and r14 = inp[idx+1] 31 STMIA r1!, {r12, r14} @ *buf1++ = inp[idx] and *buf1++ = inp[idx+1] 32 LDMIA r6, {r12, r14} @ r12 = inp[idx] and r14 = inp[idx+1 [all...] |
/external/tensorflow/tensorflow/cc/ops/ |
const_op.cc | 56 NodeBuilder::NodeOut AsNodeOut(const Scope& scope, const Input& inp) { 57 if (!inp.status().ok()) { 58 scope.UpdateStatus(inp.status()); 59 return NodeBuilder::NodeOut(inp.node(), inp.index()); 61 if (inp.node()) { 62 return NodeBuilder::NodeOut(inp.node(), inp.index()); 64 if (!inp.node_name().empty()) { 65 return NodeBuilder::NodeOut(inp.node_name(), inp.index(), inp.data_type()) [all...] |
/external/libxaac/decoder/ |
ixheaacd_qmf_poly.h | 32 VOID ixheaacd_cmplx_anal_fft_p2(FLOAT32 *inp, FLOAT32 *out, WORD32 n_points); 34 VOID ixheaacd_cmplx_anal_fft_p3(FLOAT32 *inp, FLOAT32 *out, WORD32 n_points); 36 VOID ixheaacd_real_synth_fft_p2(FLOAT32 *inp, FLOAT32 *out, WORD32 n_points); 38 VOID ixheaacd_real_synth_fft_p3(FLOAT32 *inp, FLOAT32 *out, WORD32 n_points); 40 VOID (*ixheaacd_real_synth_fft)(FLOAT32 *inp, FLOAT32 *out, WORD32 n_points); 42 VOID (*ixheaacd_cmplx_anal_fft)(FLOAT32 *inp, FLOAT32 *out, WORD32 n_points);
|
/system/core/toolbox/upstream-netbsd/bin/dd/ |
conv.c | 65 u_char *inp; local 69 for (inp = in.dbp - (cnt = in.dbrcnt); cnt--; ++inp) 70 *inp = t[*inp]; 122 u_char *inp, *outp; local 132 for (inp = in.db, cnt = in.dbrcnt; 133 cnt && *inp++ != '\n'; --cnt); 142 in.dbp = inp + cnt - 1; 149 for (inp = in.dbp - in.dbcnt, outp = out.dbp; in.dbcnt;) 233 u_char *inp; local [all...] |
/external/tensorflow/tensorflow/contrib/tensorrt/python/ |
trt_convert.py | 52 def py2bytes(inp): 53 return inp 55 def py3bytes(inp): 56 return inp.encode("utf-8", errors="surrogateescape") 58 def py2string(inp): 59 return inp 61 def py3string(inp): 62 return inp.decode("utf-8")
|
/external/toolchain-utils/bestflags/ |
pipeline_process_test.py | 61 inp = manager.Queue() 65 2, 'testing', {}, TEST_STAGE, inp, MockHelper, MockWorker, output) 68 inp.put(MockTask(TEST_STAGE, 1)) 69 inp.put(MockTask(TEST_STAGE, 1)) 70 inp.put(MockTask(TEST_STAGE, 2)) 71 inp.put(pipeline_process.POISONPILL)
|
/external/trappy/tests/ |
test_cpu_power.py | 69 inp = trappy.FTrace().cpu_in_power 71 self.assertTrue("load0" in inp.data_frame.columns) 72 self.assertEquals(inp.data_frame["load0"].iloc[0], 24) 83 inp = trappy.FTrace(normalize_time=False).cpu_in_power 84 self.assertEquals(round(inp.data_frame.index[0], 6), 676.256284) 85 self.assertEquals(inp.data_frame["cpus"].iloc[1], "00000000,00000030") 100 inp = trappy.FTrace(normalize_time=False).cpu_in_power 102 self.assertEquals(inp.data_frame["load0"].iloc[0], 74) 103 self.assertEquals(inp.data_frame["load1"].iloc[0], 49) 104 self.assertEquals(inp.data_frame["load2"].iloc[0], 0 [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
cast_op_impl_bfloat.cc | 28 return [](OpKernelContext* ctx, const Tensor& inp, Tensor* out) { 31 auto work = [&inp, &out](int64 start, int64 end) { 32 BFloat16ToFloat(inp.flat<bfloat16>().data() + start, 45 return [](OpKernelContext* ctx, const Tensor& inp, Tensor* out) { 48 inp.flat<bfloat16>());
|
concat_lib_cpu.h | 57 std::vector<const T*> inp; local 58 inp.reserve(num_inputs); 60 inp.push_back(&(*input)(0, 0)); 66 copier.Copy(out, inp[j], j, size); 68 inp[j] += size; 91 const T* inp = &(*inputs[j])(skipped_rows, 0); 94 inp += offset; 99 copier.Copy(out, inp, j, size); 109 std::vector<const T*> inp; 110 inp.reserve(num_inputs) 148 std::vector<const T*> inp; local [all...] |
/external/tensorflow/tensorflow/contrib/batching/python/ops/ |
batch_ops_test.py | 44 inp = array_ops.placeholder(dtype=dtypes.int32, shape=[1]) 46 [inp], num_batch_threads=1, max_batch_size=2, 53 sess.run([batched, index], feed_dict={inp: [1]})) 57 main_results = sess.run([batched, index], feed_dict={inp: [2]}) 84 inp = array_ops.placeholder(dtype=dtypes.int32, shape=[2]) 86 [inp], num_batch_threads=1, max_batch_size=10, 94 sess.run([batched, index], feed_dict={inp: [1, 3]})) 98 main_results = sess.run([batched, index], feed_dict={inp: [2, 4]}) 167 inp = array_ops.placeholder(dtype=dtypes.int32, shape=[1]) 169 [inp], num_batch_threads=1, max_batch_size=10 [all...] |
/external/libhevc/common/ |
ihevc_trans_macros.h | 37 #define QUANT(out, inp, quant_coeff, qp_div, log2_trans_size, q_add) \ 51 sign = (inp)<0 ? -1:1; \ 53 tmp = (LWORD64)(abs(inp)); \ 62 #define QUANT_HBD(out, inp, quant_coeff, qp_div, log2_trans_size, q_add, bit_depth) \ 76 sign = (inp)<0 ? -1:1; \ 78 tmp = (LWORD64)(abs(inp)); \ 87 #define QUANT_NO_WEIGHTMAT(out, inp, quant_coeff, qp_div, log2_trans_size, q_add) \ 101 sign = (inp)<0 ? -1:1; \ 103 tmp = (WORD32)(abs(inp)); \ 112 #define QUANT_NO_WEIGHTMAT_HBD(out, inp, quant_coeff, qp_div, log2_trans_size, q_add, bit_depth) [all...] |
/external/python/cpython3/Lib/idlelib/idle_test/ |
test_editor.py | 12 for inp, out in pairs: 13 self.assertEqual(func(dummy, inp), out)
|
/external/boringssl/src/crypto/chacha/asm/ |
chacha-x86_64.pl | 74 ($out,$inp,$len,$key,$counter)=("%rdi","%rsi","%rdx","%rcx","%r8"); 282 mov $inp,64+8(%rsp) # save inp 302 mov 64+8(%rsp),$inp # load inp 323 xor 4*0($inp),@x[0] # xor with input 324 xor 4*1($inp),@x[1] 325 xor 4*2($inp),@x[2] 326 xor 4*3($inp),@x[3] 327 xor 4*4($inp),@x[4 [all...] |
/external/protobuf/src/google/protobuf/stubs/ |
atomicops_internals_x86_gcc.cc | 48 #define cpuid(a, b, c, d, inp) \ 52 : "=a" (a), "=D" (b), "=c" (c), "=d" (d) : "a" (inp)) 54 #define cpuid(a, b, c, d, inp) \ 58 : "=a" (a), "=D" (b), "=c" (c), "=d" (d) : "a" (inp))
|
/external/tensorflow/tensorflow/python/debug/lib/ |
stepper.py | 264 non_control_inputs = [inp for inp in curr_node.inputs] 265 control_inputs = [inp for inp in curr_node.control_inputs] 270 for inp in all_inputs: 271 all_input_nodes.add(self._get_node(inp).name) 275 for inp in all_inputs: 278 if inp.name not in self._output_targets: 279 self._output_targets[inp.name] = set([curr_elem.name]) 281 self._output_targets[inp.name].add(curr_elem.name [all...] |
debug_graphs.py | 209 for inp in input_list[node_name]: 210 if get_node_name(inp) in self._visited_nodes: 212 self._inputs.append(inp) 214 self.trace(inp) 303 for inp in node.input: 304 if is_copy_node(inp) and (node.op == "_Send" or node.op == "_Retval"): 307 if inp.startswith("^"): 308 cinp = inp[1:] 311 self._node_inputs[node.name].append(inp) 350 inp = inputs[i [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
pad_op_test.py | 33 def _npPad(self, inp, paddings, mode, constant_values=0): 36 return np.pad(inp, paddings, mode=mode, constant_values=constant_values) 38 return np.pad(inp, paddings, mode=mode) 243 inp = constant_op.constant(0.0, shape=[4, 4, 4, 4]) 244 padded = array_ops.pad(inp, array_ops.placeholder(dtypes.int32)) 248 inp = array_ops.placeholder(dtypes.float32) 249 padded = array_ops.pad(inp, [[2, 2], [2, 2]]) 253 inp = array_ops.placeholder(dtypes.float32) 254 padded = array_ops.pad(inp, array_ops.placeholder(dtypes.int32)) 261 inp = constant_op.constant(0.0, shape=[4, 4] [all...] |
split_op_test.py | 55 inp = np.zeros((1, 10)) 59 sess.run(array_ops.split(model_input, [4]), {model_input: inp}) 135 inp = self._makeData(shape, dtype) 137 result = self.evaluate(array_ops.split(inp, size_splits, split_dim)) 143 self.assertAllEqual(result[i], inp[slices]) 146 inp = np.random.rand(4, 4).astype("f") 149 result = self.evaluate(array_ops.split(inp, [4], 0)) 150 self.assertAllEqual(result[0], inp) 152 result = self.evaluate(array_ops.split(inp, [-1, 3], 0)) 153 self.assertAllEqual(result[0], inp[0:1, :] [all...] |
logging_ops_test.py | 64 inp = constant_op.constant(2.0, shape=[100, 32]) 65 inp_printed = logging_ops.Print(inp, [inp]) 66 self.assertEqual(inp.get_shape(), inp_printed.get_shape()) 70 inp = constant_op.constant(2.0, shape=[100, 32], name="in") 72 wx = math_ops.matmul(w, inp, name="wx")
|
/external/python/cpython2/Lib/test/ |
test_uu.py | 23 inp = cStringIO.StringIO(plaintext) 25 uu.encode(inp, out, "t1") 27 inp = cStringIO.StringIO(plaintext) 29 uu.encode(inp, out, "t1", 0644) 33 inp = cStringIO.StringIO(encodedtextwrapped % (0666, "t1")) 35 uu.decode(inp, out) 37 inp = cStringIO.StringIO( 43 uu.decode(inp, out) 47 inp = cStringIO.StringIO("begin 644 t1\n" + encodedtext) 50 uu.decode(inp, out [all...] |
/device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/lib2to3/tests/ |
test_refactor.py | 77 inp = "from __future__ import generators, print_function"
78 self.assertEqual(run(inp), fs(("generators", "print_function")))
79 inp ="from __future__ import print_function, generators"
80 self.assertEqual(run(inp), fs(("print_function", "generators")))
81 inp = "from __future__ import (print_function,)"
82 self.assertEqual(run(inp), fs(("print_function",)))
83 inp = "from __future__ import (generators, print_function)"
84 self.assertEqual(run(inp), fs(("generators", "print_function")))
85 inp = "from __future__ import (generators, nested_scopes)"
86 self.assertEqual(run(inp), fs(("generators", "nested_scopes"))) [all...] |
/external/python/cpython2/Lib/lib2to3/tests/ |
test_refactor.py | 84 inp = "from __future__ import generators, print_function" 85 self.assertEqual(run(inp), fs(("generators", "print_function"))) 86 inp ="from __future__ import print_function, generators" 87 self.assertEqual(run(inp), fs(("print_function", "generators"))) 88 inp = "from __future__ import (print_function,)" 89 self.assertEqual(run(inp), fs(("print_function",))) 90 inp = "from __future__ import (generators, print_function)" 91 self.assertEqual(run(inp), fs(("generators", "print_function"))) 92 inp = "from __future__ import (generators, nested_scopes)" 93 self.assertEqual(run(inp), fs(("generators", "nested_scopes")) [all...] |
/external/python/cpython3/Lib/lib2to3/tests/ |
test_refactor.py | 78 inp = "from __future__ import generators, print_function" 79 self.assertEqual(run(inp), fs(("generators", "print_function"))) 80 inp ="from __future__ import print_function, generators" 81 self.assertEqual(run(inp), fs(("print_function", "generators"))) 82 inp = "from __future__ import (print_function,)" 83 self.assertEqual(run(inp), fs(("print_function",))) 84 inp = "from __future__ import (generators, print_function)" 85 self.assertEqual(run(inp), fs(("generators", "print_function"))) 86 inp = "from __future__ import (generators, nested_scopes)" 87 self.assertEqual(run(inp), fs(("generators", "nested_scopes")) [all...] |