| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| D | parameterized_truncated_normal_op_test.py | 55 minval = None variable in TruncatedNormalMoments
58 def __init__(self, mean, stddev, minval, maxval): argument
63 self.minval = np.double(max(-10, minval))
87 np.power(self.minval, k - 1) * dist.pdf(self.minval))
88 denominator = dist.cdf(self.maxval) - dist.cdf(self.minval)
124 minval, argument
137 minval=0,
141 shape, new_seed, mean, stddev, minval, maxval).eval()
144 shape, mean, stddev, minval, maxval).eval()
147 expected_moments = TruncatedNormalMoments(mean, stddev, minval, maxval)
[all …]
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| D | stateless_random_ops_test.py | 94 random_ops.random_uniform, dict(minval=2.2, maxval=7.1)),
139 def wrap(op, minval, maxval, shape, shape_dtype, dtype, seed): argument
143 seed=seed, shape=shape_, minval=minval, maxval=maxval, dtype=dtype)
147 for minval, maxval in minval_maxval:
151 yield ('uniform_%s_%s' % (minval, maxval),
153 minval, maxval, shape, shape_dtype, dtype),
154 functools.partial(wrap, random_ops.random_uniform, minval,
489 shape=shape, seed=[1, 2], minval=array_ops.zeros(shape, 'int32'),
498 shape=shape, seed=[1, 2], minval=0,
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| /external/mesa3d/src/util/ |
| D | format_srgb.h | 98 } almostone, minval, f; in util_format_linear_float_to_srgb_8unorm() local
102 minval.ui = (127-13) << 23; in util_format_linear_float_to_srgb_8unorm()
109 if (!(x > minval.f)) in util_format_linear_float_to_srgb_8unorm()
110 x = minval.f; in util_format_linear_float_to_srgb_8unorm()
116 tab = util_format_linear_to_srgb_helper_table[(f.ui - minval.ui) >> 20]; in util_format_linear_float_to_srgb_8unorm()
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| /external/tensorflow/tensorflow/python/ops/ |
| D | stateless_random_ops.py | 84 minval=None, maxval=None)
122 minval=None, maxval=None)
141 minval=0, argument
205 if (minval is None) != (maxval is None):
208 if minval is not None and dtype in (dtypes.uint32, dtypes.uint64):
213 [shape, seed, minval, maxval]) as name:
215 if dtype.is_integer and minval is None:
226 minval = ops.convert_to_tensor(minval, dtype=dtype, name="min")
232 shape, key=key, counter=counter, minval=minval, maxval=maxval,
236 shape, seed=seed, minval=minval, maxval=maxval, name=name)
[all …]
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| D | stateful_random_ops.py | 741 def uniform(self, shape, minval=0, maxval=None, argument
786 if (minval is None) != (maxval is None):
789 "maxval={}".format(dtype, minval, maxval))
793 [shape, minval, maxval]) as name:
795 if dtype.is_integer and minval is None:
797 minval = ops.convert_to_tensor(minval, dtype=dtype, name="min")
806 minval=minval,
812 minval=minval, maxval=maxval, name=name)
815 return math_ops.add(rnd * (maxval - minval), minval, name=name)
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| D | random_ops.py | 219 minval=0, argument
295 with ops.name_scope(name, "random_uniform", [shape, minval, maxval]) as name:
299 minval_is_zero = isinstance(minval, int) and minval == 0
302 minval = ops.convert_to_tensor(minval, dtype=dtype, name="min")
307 shape, minval, maxval, seed=seed1, seed2=seed2, name=name)
315 result = math_ops.add(result * (maxval - minval), minval, name=name)
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| D | init_ops_v2.py | 329 def __init__(self, minval=-0.05, maxval=0.05, seed=None): argument
330 self.minval = minval
353 return self._random_generator.random_uniform(shape, self.minval,
358 "minval": self.minval,
1075 def random_uniform(self, shape, minval, maxval, dtype): argument
1082 shape=shape, minval=minval, maxval=maxval, dtype=dtype, seed=self.seed)
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| D | stateful_random_ops_test.py | 401 minval = 128
417 minval2 = constant_op.constant(minval, dtype=dtype)
420 shape, minval=minval2, maxval=maxval2, seed=seed1, seed2=seed2)
422 return gen.uniform(shape, minval=minval, maxval=maxval, dtype=dtype)
471 minval = 2
476 shape=[size], dtype=dtype, minval=minval, maxval=maxval).numpy()
477 self.assertTrue(np.all(x >= minval))
569 gen.uniform(shape=shape, minval=array_ops.zeros(shape, "int32"),
578 shape=shape, minval=0, maxval=array_ops.ones(shape, "int32") * 100,
696 r1 = g.uniform(shape=shape, dtype=dtype, minval=None)
[all …]
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_StatefulUniformInt.pbtxt | 23 name: "minval"
48 The generated values are uniform integers in the range `[minval, maxval)`.
49 The lower bound `minval` is included in the range, while the upper bound
52 The random integers are slightly biased unless `maxval - minval` is an exact
53 power of two. The bias is small for values of `maxval - minval` significantly
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| D | api_def_RandomUniformInt.pbtxt | 10 name: "minval"
43 The generated values are uniform integers in the range `[minval, maxval)`.
44 The lower bound `minval` is included in the range, while the upper bound
47 The random integers are slightly biased unless `maxval - minval` is an exact
48 power of two. The bias is small for values of `maxval - minval` significantly
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| D | api_def_StatelessRandomUniformInt.pbtxt | 17 name: "minval"
42 The generated values follow a uniform distribution in the range `[minval, maxval)`.
44 The outputs are a deterministic function of `shape`, `seed`, `minval`, and `maxval`.
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| D | api_def_StatelessRandomUniformIntV2.pbtxt | 29 name: "minval"
54 The generated values follow a uniform distribution in the range `[minval, maxval)`.
56 The outputs are a deterministic function of `shape`, `key`, `counter`, `alg`, `minval` and `maxval`.
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| /external/libopus/celt/ |
| D | mathops.h | 84 opus_val16 minval = 0; in celt_maxabs16() local
88 minval = MIN16(minval, x[i]); in celt_maxabs16()
90 return MAX32(EXTEND32(maxval),-EXTEND32(minval)); in celt_maxabs16()
100 opus_val32 minval = 0; in celt_maxabs32() local
104 minval = MIN32(minval, x[i]); in celt_maxabs32()
106 return MAX32(maxval, -minval); in celt_maxabs32()
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| /external/openssh/openbsd-compat/ |
| D | strtonum.c | 34 strtonum(const char *numstr, long long minval, long long maxval, in strtonum() argument
52 if (minval > maxval) in strtonum()
58 else if ((ll == LLONG_MIN && errno == ERANGE) || ll < minval) in strtonum()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | parameterized_truncated_normal_op.cc | 100 T minval = minvals((minvals.dimension(0) == 1) ? 0 : b); in operator ()() local
111 stddev > T(0) && minval < maxval && in operator ()()
112 (Eigen::numext::isfinite(minval) || in operator ()()
121 if ((Eigen::numext::isinf(minval) && minval < T(0)) || maxval < mean) { in operator ()()
123 std::swap(minval, maxval); in operator ()()
128 const T normMin = (minval - mean) / stddev; in operator ()()
379 T mean, stddev, minval, maxval; in operator ()() local
383 minval = minvals(minvals_batch_indices[batch_idx]); in operator ()()
388 minval = minvals(batch_idx); in operator ()()
394 stddev > T(0) && minval < maxval && in operator ()()
[all …]
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| D | parameterized_truncated_normal_op_gpu.cu.cc | 96 T minval = minvals[single_minval ? 0 : batch_id]; in TruncatedNormalKernel() local
101 if (Eigen::numext::isinf(minval) || maxval < mean) { in TruncatedNormalKernel()
104 T temp = minval; in TruncatedNormalKernel()
105 minval = maxval; in TruncatedNormalKernel()
113 const T normMin = (minval - mean) / stddev; in TruncatedNormalKernel()
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| /external/OpenCL-CTS/test_conformance/commonfns/ |
| D | test_clamp.cpp | 80 static int verify_clamp(float *x, float *minval, float *maxval, float *outptr, int n) in verify_clamp() argument
87 t = fminf( fmaxf( x[ i ], minval[ i ] ), maxval[ i ] ); in verify_clamp()
90 …log_error( "%d) verification error: clamp( %a, %a, %a) = *%a vs. %a\n", i, x[i], minval[i], maxval… in verify_clamp()
98 static int verify_clamp_double(double *x, double *minval, double *maxval, double *outptr, int n) in verify_clamp_double() argument
105 t = fmin( fmax( x[ i ], minval[ i ] ), maxval[ i ] ); in verify_clamp_double()
108 …log_error( "%d) verification error: clamp( %a, %a, %a) = *%a vs. %a\n", i, x[i], minval[i], maxval… in verify_clamp_double()
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | ctc_loss_op_test.py | 321 [batch_size, max_label_length], minval=1, maxval=num_labels,
326 [batch_size], minval=2, maxval=max_label_length, dtype=dtypes.int64)
372 [batch_size, label_length], minval=1, maxval=num_labels,
376 [batch_size], minval=2, maxval=label_length, dtype=dtypes.int64)
425 [batch_size, label_length], minval=1, maxval=num_labels,
429 [batch_size], minval=2, maxval=label_length, dtype=dtypes.int64)
479 minval=0,
484 minval=2,
542 [batch_size, label_length], minval=0, maxval=num_labels-1,
546 [batch_size], minval=2, maxval=label_length, dtype=dtypes.int64)
[all …]
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| /external/tensorflow/tensorflow/python/keras/initializers/ |
| D | initializers_v2.py | 271 def __init__(self, minval=-0.05, maxval=0.05, seed=None): argument
272 self.minval = minval
295 return self._random_generator.random_uniform(shape, self.minval,
300 'minval': self.minval,
976 def random_uniform(self, shape, minval, maxval, dtype): argument
983 shape=shape, minval=minval, maxval=maxval, dtype=dtype, seed=self.seed)
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| D | initializers_v1.py | 56 def __init__(self, minval=-0.05, maxval=0.05, seed=None, argument
59 minval=minval, maxval=maxval, seed=seed, dtype=dtype)
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| /external/python/cpython2/Modules/ |
| D | audioop.c | 33 fbound(double val, double minval, double maxval) in fbound() argument
38 else if (val < minval + 1.0) { in fbound()
39 val = minval; in fbound()
784 double factor, fval, maxval, minval; in audioop_mul() local
794 minval = (double) minvals[size]; in audioop_mul()
807 val = fbound(fval, minval, maxval); in audioop_mul()
820 double fac1, fac2, fval, maxval, minval; in audioop_tomono() local
835 minval = (double) minvals[size]; in audioop_tomono()
851 val1 = fbound(fval, minval, maxval); in audioop_tomono()
864 double fac1, fac2, fval, maxval, minval; in audioop_tostereo() local
[all …]
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| /external/python/cpython3/Modules/ |
| D | audioop.c | 21 fbound(double val, double minval, double maxval) in fbound() argument
26 else if (val < minval + 1.0) { in fbound()
27 val = minval; in fbound()
938 double maxval, minval; in audioop_mul_impl() local
945 minval = (double) minvals[width]; in audioop_mul_impl()
954 int ival = fbound(val * factor, minval, maxval); in audioop_mul_impl()
979 double maxval, minval; in audioop_tomono_impl() local
993 minval = (double) minvals[width]; in audioop_tomono_impl()
1004 int ival = fbound(val, minval, maxval); in audioop_tomono_impl()
1029 double maxval, minval; in audioop_tostereo_impl() local
[all …]
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| /external/tensorflow/tensorflow/lite/micro/kernels/ |
| D | elu.cc | 50 int32_t minval = std::numeric_limits<T>::min(); in PopulateLookupTable() local
51 for (int32_t val = minval; val <= maxval; ++val) { in PopulateLookupTable()
60 static_cast<T>(std::max(std::min(maxval, quantized), minval))); in PopulateLookupTable()
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| /external/tensorflow/tensorflow/compiler/xla/client/lib/ |
| D | prng.cc | 464 XlaOp ConvertRandomBitsToUniformFloatingPoint(XlaOp bits, XlaOp minval, in ConvertRandomBitsToUniformFloatingPoint() argument
469 builder->GetShapePtr(minval)); in ConvertRandomBitsToUniformFloatingPoint()
495 return values * (maxval - minval) + minval; in ConvertRandomBitsToUniformFloatingPoint()
499 XlaOp ConvertRandomBitsToUniformInt(XlaOp bits, XlaOp minval, XlaOp maxval, in ConvertRandomBitsToUniformInt() argument
504 BitcastConvertType(minval, unsigned_type); in ConvertRandomBitsToUniformInt()
509 return minval + BitcastConvertType(dist_div_2, type) + in ConvertRandomBitsToUniformInt()
583 XlaOp minval, XlaOp maxval, in UniformFloatingPointDistribution() argument
588 return {ConvertRandomBitsToUniformFloatingPoint(bits, minval, maxval), in UniformFloatingPointDistribution()
593 BitGeneratorTy bit_generator, XlaOp minval, in UniformIntDistribution() argument
607 ConvertRandomBitsToUniformInt(bits, minval, maxval, type, unsigned_type), in UniformIntDistribution()
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| D | prng.h | 72 XlaOp minval, XlaOp maxval,
78 BitGeneratorTy bit_generator, XlaOp minval,
|