| /external/tensorflow/tensorflow/contrib/layers/python/ops/ |
| H A D | sparse_ops.py | 31 multipliers = []
33 if multipliers:
34 multipliers.append(dim * multipliers[-1])
36 multipliers.append(dim)
37 multipliers.reverse()
38 return multipliers
|
| /external/icu/android_icu4j/src/main/java/android/icu/impl/number/ |
| H A D | CompactData.java | 33 private final byte[] multipliers; field in class:CompactData
41 multipliers = new byte[CompactData.COMPACT_MAX_DIGITS + 1];
98 multipliers[magnitude] = (byte) (numZeros - magnitude - 1);
116 return multipliers[magnitude];
164 byte multiplier = data.multipliers[magnitude];
199 if (data.multipliers[magnitude] == 0) {
200 data.multipliers[magnitude] = multiplier;
206 assert data.multipliers[magnitude] == multiplier;
|
| /external/icu/icu4j/main/classes/core/src/com/ibm/icu/impl/number/ |
| H A D | CompactData.java | 29 private final byte[] multipliers; field in class:CompactData
37 multipliers = new byte[CompactData.COMPACT_MAX_DIGITS + 1];
94 multipliers[magnitude] = (byte) (numZeros - magnitude - 1);
112 return multipliers[magnitude];
160 byte multiplier = data.multipliers[magnitude];
195 if (data.multipliers[magnitude] == 0) {
196 data.multipliers[magnitude] = multiplier;
202 assert data.multipliers[magnitude] == multiplier;
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
| H A D | scatter_add_ndim_op.cc | 79 // Calculate index multipliers.
80 std::vector<int32> multipliers; variable
88 multipliers.push_back(m);
96 start_index += indices(i, j) * multipliers[j];
|
| /external/toolchain-utils/fdo_scripts/ |
| H A D | divide_and_merge_profiles.py | 23 def __init__(self, inputs, output, chunk_size, merge_program, multipliers):
28 self._multipliers = multipliers
79 command = ('%s --multipliers=%s' % (command, self._multipliers))
115 parser.add_option('--multipliers',
116 dest='multipliers',
117 help='multipliers to use when merging. (optional)')
128 options.merge_program, options.multipliers)
|
| H A D | divide_and_merge_profiles_test.py | 112 multipliers = [str(random.randint(0, num_profiles)) \
114 args = '--multipliers=%s' % ','.join(multipliers)
|
| /external/icu/icu4c/source/i18n/ |
| H A D | number_compact.cpp | 56 // NOTE: patterns and multipliers both get zero-initialized.
57 CompactData::CompactData() : patterns(), multipliers(), largestMagnitude(0), isEmpty(TRUE) {
103 return multipliers[magnitude];
161 int8_t multiplier = data.multipliers[magnitude];
201 if (data.multipliers[magnitude] == 0) {
202 data.multipliers[magnitude] = multiplier;
208 U_ASSERT(data.multipliers[magnitude] == multiplier);
|
| H A D | number_compact.h | 37 int8_t multipliers[COMPACT_MAX_DIGITS + 1]; member in class:number::impl::CompactData
|
| /external/tensorflow/tensorflow/python/ops/ |
| H A D | linalg_grad.py | 52 multipliers = array_ops.reshape(grad * c,
55 return multipliers * a_adj_inv
|
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| H A D | training_test.py | 577 # Use the same learning rate but different gradient multipliers
581 multipliers = [1., 1000.]
589 learning_rate=learning_rate, gradient_multiplier=multipliers[0])
606 learning_rate=learning_rate, gradient_multiplier=multipliers[1])
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| H A D | learning_test.py | 919 # Use the same learning rate but different gradient multipliers
928 multipliers = [1., 1000.]
937 learning_rate=learning_rate, gradient_multiplier=multipliers[0])
946 learning_rate=learning_rate, gradient_multiplier=multipliers[1])
|
| /external/v8/src/arm64/ |
| H A D | assembler-arm64.cc | 2778 static const uint64_t multipliers[] = { local
2787 // Ensure that the index to the multipliers array is within bounds.
2789 (static_cast<size_t>(multiplier_idx) < arraysize(multipliers)));
2790 uint64_t multiplier = multipliers[multiplier_idx];
|
| /external/vixl/src/aarch64/ |
| H A D | assembler-aarch64.cc | 4563 static const uint64_t multipliers[] = {
4571 uint64_t multiplier = multipliers[CountLeadingZeros(d, kXRegSize) - 57];
|