| /external/google-breakpad/src/client/windows/tests/crash_generation_app/ |
| crash_generation_app.cc | 78 CustomInfoEntry(L"prod", L"CrashTestApp"),
|
| /external/libxml2/test/valid/dtds/ |
| spec.dtd | 609 <!ELEMENT scrap (head, (prodgroup+ | prod+ | bnf))>
617 <!ELEMENT prodgroup (prod+)>
631 <!ELEMENT prod (lhs, (rhs, (com|wfc|vc)*)+)>
636 <!ATTLIST prod
|
| /external/libxml2/ |
| xmlreader.c | [all...] |
| /external/skia/infra/bots/recipe_modules/isolate/ |
| api.py | 152 '--eventlog-endpoint', 'prod',
|
| /external/skqp/infra/bots/recipe_modules/isolate/ |
| api.py | 152 '--eventlog-endpoint', 'prod',
|
| /external/syslinux/core/fs/pxe/ |
| http_readdir.c | 282 { 8719, "prod" },
|
| /external/tensorflow/tensorflow/contrib/all_reduce/python/ |
| all_reduce_test.py | 122 dim = np.prod(shape) if shape else 1
|
| /external/tensorflow/tensorflow/contrib/nccl/python/ops/ |
| nccl_ops.py | 93 return _apply_all_reduce('prod', tensors)
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/utils/ |
| layer_utils.py | 266 kernel[:, i] = np.reshape(ki, (np.prod(previous_feature_map_shape),))
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| self_adjoint_eig_op_test.py | 109 num_batches = int(np.prod(x_e.shape[:-1]))
|
| cwise_ops_test.py | [all...] |
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| dirichlet.py | 235 x[..., array_ops.newaxis, :]), # outer prod
|
| distribution.py | [all...] |
| /external/python/cpython3/Lib/test/ |
| test_buffer.py | 246 def prod(lst): function
298 if listp(items) and not 0 in shape and prod(shape) != len(items):
299 raise ValueError("prod(shape) != len(items)")
303 if listp(items) and not 0 in shape and prod(shape) != len(items):
304 raise ValueError("prod(shape) != len(items)")
640 constraint for contiguous arrays prod(shape) * itemsize = bytelen
646 if prod(shape) * itemsize != bytelen:
770 expected_len = prod(shape)*itemsize
[all...] |
| /external/skia/infra/bots/recipes/test.expected/ |
| Test-Chromecast-GCC-Chorizo-CPU-Cortex_A7-arm-Release-All.json | 325 "\nimport contextlib\nimport math\nimport socket\nimport sys\nimport time\nimport urllib2\n\nHASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'\nRETRIES = 5\nTIMEOUT = 60\nWAIT_BASE = 15\n\nsocket.setdefaulttimeout(TIMEOUT)\nfor retry in range(RETRIES):\n try:\n with contextlib.closing(\n urllib2.urlopen(HASHES_URL, timeout=TIMEOUT)) as w:\n hashes = w.read()\n with open(sys.argv[1], 'w') as f:\n f.write(hashes)\n break\n except Exception as e:\n print 'Failed to get uninteresting hashes from %s:' % HASHES_URL\n print e\n if retry == RETRIES:\n raise\n waittime = WAIT_BASE * math.pow(2, retry)\n print 'Retry in %d seconds.' % waittime\n time.sleep(waittime)\n",
345 "@@@STEP_LOG_LINE@python.inline@HASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'@@@",
|
| Test-Chromecast-GCC-Chorizo-GPU-Cortex_A7-arm-Release-All.json | 325 "\nimport contextlib\nimport math\nimport socket\nimport sys\nimport time\nimport urllib2\n\nHASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'\nRETRIES = 5\nTIMEOUT = 60\nWAIT_BASE = 15\n\nsocket.setdefaulttimeout(TIMEOUT)\nfor retry in range(RETRIES):\n try:\n with contextlib.closing(\n urllib2.urlopen(HASHES_URL, timeout=TIMEOUT)) as w:\n hashes = w.read()\n with open(sys.argv[1], 'w') as f:\n f.write(hashes)\n break\n except Exception as e:\n print 'Failed to get uninteresting hashes from %s:' % HASHES_URL\n print e\n if retry == RETRIES:\n raise\n waittime = WAIT_BASE * math.pow(2, retry)\n print 'Retry in %d seconds.' % waittime\n time.sleep(waittime)\n",
345 "@@@STEP_LOG_LINE@python.inline@HASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'@@@",
|
| Test-iOS-Clang-iPadPro-GPU-GT7800-arm64-Release-All.json | 528 "\nimport contextlib\nimport math\nimport socket\nimport sys\nimport time\nimport urllib2\n\nHASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'\nRETRIES = 5\nTIMEOUT = 60\nWAIT_BASE = 15\n\nsocket.setdefaulttimeout(TIMEOUT)\nfor retry in range(RETRIES):\n try:\n with contextlib.closing(\n urllib2.urlopen(HASHES_URL, timeout=TIMEOUT)) as w:\n hashes = w.read()\n with open(sys.argv[1], 'w') as f:\n f.write(hashes)\n break\n except Exception as e:\n print 'Failed to get uninteresting hashes from %s:' % HASHES_URL\n print e\n if retry == RETRIES:\n raise\n waittime = WAIT_BASE * math.pow(2, retry)\n print 'Retry in %d seconds.' % waittime\n time.sleep(waittime)\n",
550 "@@@STEP_LOG_LINE@python.inline@HASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'@@@",
|
| /external/skqp/infra/bots/recipes/test.expected/ |
| Test-Chromecast-GCC-Chorizo-CPU-Cortex_A7-arm-Release-All.json | 325 "\nimport contextlib\nimport math\nimport socket\nimport sys\nimport time\nimport urllib2\n\nHASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'\nRETRIES = 5\nTIMEOUT = 60\nWAIT_BASE = 15\n\nsocket.setdefaulttimeout(TIMEOUT)\nfor retry in range(RETRIES):\n try:\n with contextlib.closing(\n urllib2.urlopen(HASHES_URL, timeout=TIMEOUT)) as w:\n hashes = w.read()\n with open(sys.argv[1], 'w') as f:\n f.write(hashes)\n break\n except Exception as e:\n print 'Failed to get uninteresting hashes from %s:' % HASHES_URL\n print e\n if retry == RETRIES:\n raise\n waittime = WAIT_BASE * math.pow(2, retry)\n print 'Retry in %d seconds.' % waittime\n time.sleep(waittime)\n",
345 "@@@STEP_LOG_LINE@python.inline@HASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'@@@",
|
| Test-Chromecast-GCC-Chorizo-GPU-Cortex_A7-arm-Release-All.json | 325 "\nimport contextlib\nimport math\nimport socket\nimport sys\nimport time\nimport urllib2\n\nHASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'\nRETRIES = 5\nTIMEOUT = 60\nWAIT_BASE = 15\n\nsocket.setdefaulttimeout(TIMEOUT)\nfor retry in range(RETRIES):\n try:\n with contextlib.closing(\n urllib2.urlopen(HASHES_URL, timeout=TIMEOUT)) as w:\n hashes = w.read()\n with open(sys.argv[1], 'w') as f:\n f.write(hashes)\n break\n except Exception as e:\n print 'Failed to get uninteresting hashes from %s:' % HASHES_URL\n print e\n if retry == RETRIES:\n raise\n waittime = WAIT_BASE * math.pow(2, retry)\n print 'Retry in %d seconds.' % waittime\n time.sleep(waittime)\n",
345 "@@@STEP_LOG_LINE@python.inline@HASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'@@@",
|
| Test-iOS-Clang-iPadPro-GPU-GT7800-arm64-Release-All.json | 528 "\nimport contextlib\nimport math\nimport socket\nimport sys\nimport time\nimport urllib2\n\nHASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'\nRETRIES = 5\nTIMEOUT = 60\nWAIT_BASE = 15\n\nsocket.setdefaulttimeout(TIMEOUT)\nfor retry in range(RETRIES):\n try:\n with contextlib.closing(\n urllib2.urlopen(HASHES_URL, timeout=TIMEOUT)) as w:\n hashes = w.read()\n with open(sys.argv[1], 'w') as f:\n f.write(hashes)\n break\n except Exception as e:\n print 'Failed to get uninteresting hashes from %s:' % HASHES_URL\n print e\n if retry == RETRIES:\n raise\n waittime = WAIT_BASE * math.pow(2, retry)\n print 'Retry in %d seconds.' % waittime\n time.sleep(waittime)\n",
550 "@@@STEP_LOG_LINE@python.inline@HASHES_URL = 'https://storage.googleapis.com/skia-infra-gm/hash_files/gold-prod-hashes.txt'@@@",
|
| /external/tensorflow/tensorflow/core/ops/ |
| math_grad.cc | 640 {{"factor"}, "Prod", {"tile_scaling:z:0", "zero:output:0"},
652 // REGISTER_OP_GRADIENT("Prod", ProdGrad);
|
| /external/tensorflow/tensorflow/python/ops/ |
| nn_batchnorm_test.py | 464 num_elements = np.prod([shape[i] for i in axes])
495 num_elements = np.prod([shape[i] for i in axes])
|
| /frameworks/av/media/libstagefright/codecs/amrnb/enc/src/ |
| spstproc.cpp | 292 * shifted prod. Q16 Q16
299 * shifted prod. Q16 Q16
|
| /external/speex/libspeex/ |
| mdf.c | 337 static inline void weighted_spectral_mul_conj(const spx_float_t *w, const spx_float_t p, const spx_word16_t *X, const spx_word16_t *Y, spx_word32_t *prod, int N)
342 prod[0] = FLOAT_MUL32(W,MULT16_16(X[0],Y[0]));
346 prod[i] = FLOAT_MUL32(W,MAC16_16(MULT16_16(X[i],Y[i]), X[i+1],Y[i+1]));
347 prod[i+1] = FLOAT_MUL32(W,MAC16_16(MULT16_16(-X[i+1],Y[i]), X[i],Y[i+1]));
350 prod[i] = FLOAT_MUL32(W,MULT16_16(X[i],Y[i]));
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/python/ |
| xla_client_test.py | 474 a = lambda *dims: np.arange(np.prod(dims)).reshape(dims).astype("float32")
486 a = lambda *dims: np.arange(np.prod(dims)).reshape(dims).astype("float32")
497 a = lambda *dims: np.arange(np.prod(dims)).reshape(dims).astype("float32")
813 self.assertEqual(len(np.unique(result)), np.prod(shape))
824 self.assertEqual(len(np.unique(result)), np.prod(shape))
[all...] |
