| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | negative_binomial_test.py | 39 total_count = [2.0] * 5
41 total_count=total_count, probs=probs)
51 total_count = [[2.]] * 5
53 total_count=total_count, probs=probs)
65 total_count=3., logits=logits)
90 total_count=invalid_rs, probs=0.1, validate_args=True)
91 negbinom.total_count.eval()
98 total_count = 5.
101 total_count=total_count, probs=probs)
102 expected_log_cdf = stats.nbinom.logcdf(x, n=total_count, p=1 - probs_v)
[all …]
|
| D | binomial_test.py | 33 binom = binomial.Binomial(total_count=1., probs=p)
43 binom = binomial.Binomial(total_count=n, probs=p)
54 binom = binomial.Binomial(total_count=n, probs=p)
55 self.assertEqual((2, 1), binom.total_count.get_shape())
56 self.assertAllClose(n, binom.total_count.eval())
61 binom = binomial.Binomial(total_count=3., probs=p)
69 binom = binomial.Binomial(total_count=3., logits=logits)
78 binom = binomial.Binomial(total_count=n, probs=p, validate_args=True)
97 binom = binomial.Binomial(total_count=n, probs=p, validate_args=True)
111 binom = binomial.Binomial(total_count=n, probs=p, validate_args=False)
[all …]
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | negative_binomial.py | 64 total_count, argument
103 with ops.name_scope(name, values=[total_count, logits, probs]) as name:
107 [check_ops.assert_positive(total_count)] if validate_args else []):
108 self._total_count = array_ops.identity(total_count)
120 def total_count(self): member in NegativeBinomial
136 array_ops.shape(self.total_count),
141 self.total_count.get_shape(),
156 alpha=self.total_count,
169 return math_ops.betainc(self.total_count, 1. + x,
179 return (self.total_count * math_ops.log_sigmoid(-self.logits)
[all …]
|
| D | binomial.py | 151 total_count, argument
184 with ops.name_scope(name, values=[total_count, logits, probs]) as name:
186 ops.convert_to_tensor(total_count, name="total_count"),
205 def total_count(self): member in Binomial
221 array_ops.shape(self.total_count),
226 self.total_count.get_shape(),
253 return _bdtr(k=counts, n=self.total_count, p=probs)
258 (self.total_count - counts) * math_ops.log1p(-self.probs))
262 return (math_ops.lgamma(1. + self.total_count - counts)
264 - math_ops.lgamma(1. + self.total_count))
[all …]
|
| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | multinomial_test.py | 41 dist = multinomial.Multinomial(total_count=1., probs=p)
52 dist = multinomial.Multinomial(total_count=n, probs=p)
63 dist = multinomial.Multinomial(total_count=n, probs=p)
64 self.assertEqual((2, 1), dist.total_count.get_shape())
65 self.assertAllClose(n, dist.total_count.eval())
71 dist = multinomial.Multinomial(total_count=3., probs=p)
81 multinom = multinomial.Multinomial(total_count=3., logits=logits)
91 dist = multinomial.Multinomial(total_count=1., logits=logits)
100 dist = multinomial.Multinomial(total_count=n, probs=p, validate_args=True)
115 total_count=n, probs=p, validate_args=True)
[all …]
|
| D | dirichlet_multinomial_test.py | 67 self.assertEqual([1, 1], dist.total_count.get_shape())
68 self.assertAllClose(n, dist.total_count.eval())
439 total_count=5.,
469 total_count=5.,
495 total_count = constant_op.constant(5.0)
498 tape.watch(total_count)
501 total_count=total_count,
505 samples, [total_count, concentration])
|
| /external/tensorflow/tensorflow/core/kernels/ |
| D | depthtospace_op_gpu.cu.cc | 159 const int total_count = in operator ()() local
161 if (total_count == 0) { in operator ()()
164 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
194 const int total_count = batch_size * output_depth_by_input_area; in operator ()() local
195 if (total_count == 0) { in operator ()()
198 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
203 0, d.stream(), total_count, input.data(), input_width, in operator ()()
210 0, d.stream(), total_count, input.data(), input_width, in operator ()()
217 0, d.stream(), total_count, input.data(), input_width, in operator ()()
225 const int total_count = batch_size * input_depth_by_input_area; in operator ()() local
[all …]
|
| D | spacetodepth_op_gpu.cu.cc | 155 const int total_count = in operator ()() local
157 if (total_count == 0) { in operator ()()
160 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
190 const int total_count = batch_size * input_depth_by_output_area; in operator ()() local
191 if (total_count == 0) { in operator ()()
194 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
199 0, d.stream(), total_count, input.data(), output_width, in operator ()()
206 0, d.stream(), total_count, input.data(), output_width, in operator ()()
213 0, d.stream(), total_count, input.data(), output_width, in operator ()()
221 const int total_count = batch_size * output_depth_by_output_area; in operator ()() local
[all …]
|
| D | dilation_ops_gpu.cu.cc | 196 const int total_count = batch * output_rows * output_cols * depth; in operator ()() local
197 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
227 int total_count; in operator ()() local
231 total_count = batch * input_rows * input_cols * depth; in operator ()()
232 config = GetCudaLaunchConfig(total_count, d); in operator ()()
235 total_count, in_backprop.data())); in operator ()()
238 total_count = batch * output_rows * output_cols * depth; in operator ()()
239 config = GetCudaLaunchConfig(total_count, d); in operator ()()
269 int total_count; in operator ()() local
273 total_count = filter_rows * filter_cols * depth; in operator ()()
[all …]
|
| D | crop_and_resize_op_gpu.cu.cc | 364 const int total_count = num_boxes * crop_height * crop_width * depth; in operator ()() local
372 if (total_count > 0) { in operator ()()
373 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
402 int total_count; in operator ()() local
406 total_count = batch * image_height * image_width * depth; in operator ()()
407 if (total_count > 0) { in operator ()()
408 config = GetCudaLaunchConfig(total_count, d); in operator ()()
421 total_count = num_boxes * crop_height * crop_width * depth; in operator ()()
422 if (total_count > 0) { in operator ()()
423 config = GetCudaLaunchConfig(total_count, d); in operator ()()
[all …]
|
| D | bias_op_gpu.cu.cc | 82 const int32 total_count = batch * bias_size * image_size; in compute() local
83 if (total_count == 0) { in compute()
86 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in compute()
165 int32 total_count = batch * image_size; in BiasGradNCHW_SharedAtomics() local
168 index < total_count; index += blockDim.x * group_size) { in BiasGradNCHW_SharedAtomics()
203 const int32 total_count = batch * bias_size * image_size; in compute() local
204 if (total_count == 0) { in compute()
208 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in compute()
220 d.stream()>>>(total_count, output_backprop, bias_backprop, in compute()
241 d.stream(), total_count, output_backprop, bias_backprop, bias_size)); in compute()
[all …]
|
| D | resize_bilinear_op_gpu.cu.cc | 279 const int total_count = batch * out_height * out_width * channels; in operator ()() local
280 if (total_count == 0) return; in operator ()()
282 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); in operator ()()
315 int total_count; in operator ()() local
319 total_count = batch * original_height * original_width * channels; in operator ()()
320 if (total_count == 0) return; in operator ()()
321 config = GetCudaLaunchConfig(total_count, d); in operator ()()
327 total_count = batch * resized_height * resized_width * channels; in operator ()()
328 config = GetCudaLaunchConfig(total_count, d); in operator ()()
|
| D | population_count_op_gpu.cu.cc | 72 int64 total_count = input.size(); \
73 CudaLaunchConfig config = GetCudaLaunchConfig(total_count, d); \
76 total_count, input.data(), output.data())); \
|
| D | spacetobatch_functor_gpu.cu.cc | 133 int64 total_count = 1; in operator ()() local
136 total_count *= args.batch_tensor_shape[dim]; in operator ()()
138 if (total_count > std::numeric_limits<int32>::max()) { in operator ()()
143 GetCudaLaunchConfig(static_cast<int32>(total_count), d); in operator ()()
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | dirichlet_multinomial.py | 176 total_count, argument
204 with ops.name_scope(name, values=[total_count, concentration]) as name:
213 self._total_count = ops.convert_to_tensor(total_count, name="total_count")
234 def total_count(self): member in DirichletMultinomial
262 n_draws = math_ops.cast(self.total_count, dtype=dtypes.int32)
287 self.total_count, counts)
294 return self.total_count * (self.concentration /
325 return x * (self.total_count * scale - x)
332 return math_ops.sqrt((1. + c0 / self.total_count) / (1. + c0))
353 self.total_count, math_ops.reduce_sum(counts, -1),
|
| D | multinomial.py | 161 total_count, argument
195 with ops.name_scope(name, values=[total_count, logits, probs]) as name:
196 self._total_count = ops.convert_to_tensor(total_count, name="total_count")
220 def total_count(self): member in Multinomial
247 n_draws = math_ops.cast(self.total_count, dtype=dtypes.int32)
289 return -distribution_util.log_combinations(self.total_count, counts)
296 self.total_count)[..., array_ops.newaxis]
304 self.total_count)[..., array_ops.newaxis]
314 self.total_count, math_ops.reduce_sum(counts, -1),
|
| /external/u-boot/board/armltd/integrator/ |
| D | timer.c | 35 static unsigned long long total_count = 0; variable
80 total_count = 0ULL; in timer_init()
127 total_count += lastdec + TIMER_LOAD_VAL + 1 - now; in get_timer_masked()
129 total_count += lastdec - now; in get_timer_masked()
134 now = total_count; in get_timer_masked()
|
| /external/jemalloc/test/ |
| D | test.sh.in | 45 total_count=`expr ${pass_count} + ${skip_count} + ${fail_count}`
47 …ite summary: pass: ${pass_count}/${total_count}, skip: ${skip_count}/${total_count}, fail: ${fail_…
|
| /external/libtextclassifier/lang_id/features/ |
| D | char-ngram-feature.cc | 69 int total_count = 0; in ComputeNgramCounts() local
107 total_count++; in ComputeNgramCounts()
120 return total_count; in ComputeNgramCounts()
132 int total_count = ComputeNgramCounts(sentence); in Evaluate() local
135 const float norm = static_cast<float>(total_count); in Evaluate()
|
| D | relevant-script-feature.cc | 62 int total_count = 0; in Evaluate() local
86 total_count++; in Evaluate()
98 const float weight = static_cast<float>(count) / total_count; in Evaluate()
|
| /external/jemalloc_new/test/ |
| D | test.sh.in | 72 total_count=`expr ${pass_count} + ${skip_count} + ${fail_count}`
74 …ite summary: pass: ${pass_count}/${total_count}, skip: ${skip_count}/${total_count}, fail: ${fail_…
|
| /external/autotest/client/site_tests/platform_LowMemoryTest/ |
| D | main.js | 4 const total_count = sizeMB* MB / FLOAT64_BYTES;
5 const random_count = total_count * randomRatio;
12 const const_count = total_count * (1 - randomRatio);
|
| /external/tensorflow/tensorflow/contrib/seq2seq/python/ops/ |
| D | loss.py | 123 total_count = math_ops.cast(math_ops.count_nonzero(weights),
125 crossent = math_ops.div_no_nan(crossent, total_count)
136 total_count = math_ops.cast(
139 crossent = math_ops.div_no_nan(crossent, total_count)
|
| /external/libchrome/base/metrics/ |
| D | sparse_histogram.cc | 234 Count total_count = snapshot->TotalCount(); in WriteAsciiImpl() local
235 double scaled_total_count = total_count / 100.0; in WriteAsciiImpl()
237 WriteAsciiHeader(total_count, output); in WriteAsciiImpl()
282 void SparseHistogram::WriteAsciiHeader(const Count total_count, in WriteAsciiHeader() argument
285 total_count); in WriteAsciiHeader()
|
| /external/e2fsprogs/misc/ |
| D | e4defrag.c | 178 static unsigned int total_count; variable
347 total_count++; in calc_entry_counts()
541 total_count, file, extents, extents); in file_check()
554 total_count, file, extents, extents); in file_check()
1058 if (total_count == 1 && regular_count == 1) in file_statistic()
1061 printf("[%u/%u]", defraged_file_count, total_count); in file_statistic()
1166 if (total_count == 1 && regular_count == 1) { in file_statistic()
1214 defraged_file_count, total_count, file); in file_statistic()
1288 defraged_file_count, total_count, file, min(percent, 100)); in print_progress()
1424 printf("[%u/%u]", defraged_file_count, total_count); in file_defrag()
[all …]
|