| /external/mesa3d/src/util/ |
| format_srgb.h | 84 } almostone, minval, f; local
88 minval.ui = (127-13) << 23;
95 if (!(x > minval.f))
96 x = minval.f;
102 tab = util_format_linear_to_srgb_helper_table[(f.ui - minval.ui) >> 20];
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| parameterized_truncated_normal_op_test.py | 42 minval = None variable in class:TruncatedNormalMoments
45 def __init__(self, mean, stddev, minval, maxval):
50 self.minval = np.double(max(-10, minval))
74 np.power(self.minval, k - 1) * dist.pdf(self.minval))
75 denominator = dist.cdf(self.maxval) - dist.cdf(self.minval)
112 def validateMoments(self, shape, mean, stddev, minval, maxval, seed=1618):
120 minval,
124 expected_moments = TruncatedNormalMoments(mean, stddev, minval, maxval
[all...] |
| /external/libopus/celt/ |
| mathops.h | 84 opus_val16 minval = 0; local
88 minval = MIN16(minval, x[i]);
90 return MAX32(EXTEND32(maxval),-EXTEND32(minval));
100 opus_val32 minval = 0; local
104 minval = MIN32(minval, x[i]);
106 return MAX32(maxval, -minval);
|
| fixed_c5x.h | 76 #define celt_maxabs16(x, len) MAX32(EXTEND32(maxval((DATA *)x, len)),-EXTEND32(minval((DATA *)x, len)))
|
| fixed_c6x.h | 67 #define celt_maxabs16(x, len) MAX32(EXTEND32(maxval((DATA *)x, len)),-EXTEND32(minval((DATA *)x, len)))
|
| /external/tensorflow/tensorflow/python/ops/ |
| random_ops.py | 187 minval=0,
195 `[minval, maxval)`. The lower bound `minval` is included in the range, while
202 `maxval - minval` is an exact power of two. The bias is small for values of
203 `maxval - minval` significantly smaller than the range of the output (either
208 minval: A 0-D Tensor or Python value of type `dtype`. The lower bound on the
234 with ops.name_scope(name, "random_uniform", [shape, minval, maxval]) as name:
236 minval = ops.convert_to_tensor(minval, dtype=dtype, name="min")
241 shape, minval, maxval, seed=seed1, seed2=seed2, name=name
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| stability_test.py | 68 minval = -0.3333
73 x = random_ops.random_uniform([10, 10], minval=minval, maxval=maxval)
78 x = random_ops.random_uniform([10, 10], minval=minval, maxval=maxval)
|
| /external/tensorflow/tensorflow/core/kernels/ |
| parameterized_truncated_normal_op_gpu.cu.cc | 82 T minval = minvals[single_minval ? 0 : batch_id]; local
87 if (Eigen::numext::isinf(minval) || maxval < mean) {
90 T temp = minval;
91 minval = maxval;
99 const T normMin = (minval - mean) / stddev;
149 // is large, minval is negative and maxval is positive.
|
| parameterized_truncated_normal_op.cc | 88 T minval = minvals((minvals.dimension(0) == 1) ? 0 : b);
99 stddev > T(0) && minval < maxval &&
100 (Eigen::numext::isfinite(minval) ||
109 if ((Eigen::numext::isinf(minval) && minval < T(0)) || maxval < mean) {
111 std::swap(minval, maxval);
116 const T normMin = (minval - mean) / stddev;
154 // is large, minval is negative and maxval is positive.
|
| /toolchain/binutils/binutils-2.27/opcodes/ |
| cgen-ibld.in | 156 long minval = - (1L << (length - 1));
160 || value < minval)
165 value, minval, maxval);
194 long minval = - (1L << (length - 1));
197 if (value < minval || value > maxval)
202 value, minval, maxval);
|
| ip2k-ibld.c | 156 long minval = - (1L << (length - 1));
160 || value < minval)
165 value, minval, maxval);
194 long minval = - (1L << (length - 1));
197 if (value < minval || value > maxval)
202 value, minval, maxval);
155 long minval = - (1L << (length - 1)); local
193 long minval = - (1L << (length - 1)); local
|
| /external/python/cpython2/Modules/ |
| audioop.c | 32 fbound(double val, double minval, double maxval)
36 else if (val < minval + 1)
37 val = minval;
774 double factor, fval, maxval, minval; local
784 minval = (double) minvals[size];
797 val = (int)floor(fbound(fval, minval, maxval));
810 double fac1, fac2, fval, maxval, minval; local
825 minval = (double) minvals[size];
841 val1 = (int)floor(fbound(fval, minval, maxval));
854 double fac1, fac2, fval, maxval, minval; local
905 int len1, len2, size, val1 = 0, val2 = 0, minval, maxval, newval; local
[all...] |
| /external/python/cpython3/Modules/ |
| audioop.c | 21 fbound(double val, double minval, double maxval)
25 else if (val < minval + 1)
26 val = minval;
911 double maxval, minval; local
918 minval = (double) minvals[width];
928 val = floor(fbound(val, minval, maxval));
953 double maxval, minval; local
966 minval = (double) minvals[width];
977 val = floor(fbound(val, minval, maxval));
1002 double maxval, minval; local
1050 int minval, maxval, newval; local
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| mnist_test.py | 100 minval=-1., maxval=1.)
106 minval=-1., maxval=1.)
|
| /external/fio/ |
| parse.h | 55 int minval; member in struct:fio_option
|
| parse.c | 67 if (!o->minval && !o->maxval)
70 logger("%20s: min=%d", "range", o->minval);
558 if (o->minval && ull < o->minval) {
560 " (%u min)\n", ull, o->minval);
824 if (o->minval && il < o->minval) {
826 il, o->minval);
1279 o->minval = 0;
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
| mnist_test.py | 37 digits = tf.random_uniform([batch_size], minval=0, maxval=10, dtype=tf.int32)
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/ |
| rnn_colorbot_test.py | 39 [batch_size, time_steps], minval=0, maxval=alphabet, dtype=tf.int32),
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
| export_test.py | 47 x = random_ops.random_uniform(shape=(1,), minval=0.0, maxval=1000.0)
120 random_ops.random_uniform(shape=(1,), minval=0.0, maxval=1000.0)
163 random_ops.random_uniform(shape=(1,), minval=0.0, maxval=1000.0)
207 random_ops.random_uniform(shape=(1,), minval=0.0, maxval=1000.0)
|
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| linear_operator_test_util.py | 484 shape[:-1], dtype=dtype, minval=1., maxval=maxval)
525 minval=None,
534 Uniform[minval, maxval], if dtype is real,
535 X + iY, where X, Y ~ Uniform[minval, maxval], if dtype is complex.
540 minval: `0-D` `Tensor` giving the minimum values.
552 shape, dtype=dtype.real_dtype, minval=minval, maxval=maxval, seed=seed)
559 minval=minval,
567 minval=None
[all...] |
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| stateless_random_ops.cc | 123 // [minval, maxval)
127 double minval, double maxval) {
163 // Multiply and add to shift to the range [minval, maxval).
164 floats = builder->Mul(floats, builder->ConstantR0<float>(maxval - minval));
165 floats = builder->Add(floats, builder->ConstantR0<float>(minval));
|
| random_ops.cc | 72 errors::InvalidArgument("minval must be 0-D, got shape ",
78 auto minval = ctx->Input(1); variable
80 ctx->SetOutput(0, ctx->builder()->RngUniform(minval, maxval, xla_shape));
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| random_ops_test.py | 73 x = random_ops.random_uniform(shape=[1000], dtype=dtype, minval=-2,
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| exponential.py | 131 minval=np.finfo(self.dtype.as_numpy_dtype).tiny,
|
| /external/tensorflow/tensorflow/contrib/factorization/python/kernel_tests/ |
| masked_matmul_benchmark.py | 54 [nnz], minval=0, maxval=num_rows, dtype=dtypes.int64)
56 [nnz], minval=0, maxval=num_cols, dtype=dtypes.int64)
|
