Home
last modified time | relevance | path

Searched refs:y_dim (Results 1 – 7 of 7) sorted by relevance

/external/tensorflow/tensorflow/contrib/nn/python/ops/
Dalpha_dropout_test.py33 x_dim, y_dim = 40, 30
36 t = random_ops.random_normal([x_dim, y_dim])
38 self.assertEqual([x_dim, y_dim], output.get_shape())
47 y_dim = 30
49 t = constant_op.constant(1.0, shape=[x_dim, y_dim], dtype=dtypes.float32)
51 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim, y_dim + 10])
53 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim, y_dim, 5])
60 _ = alpha_dropout(t, keep_prob, noise_shape=[y_dim])
61 _ = alpha_dropout(t, keep_prob, noise_shape=[1, y_dim])
66 x_dim, y_dim = 40, 30
[all …]
/external/tensorflow/tensorflow/python/ops/
Dnn_test.py312 y_dim = 30
315 t = constant_op.constant(1.0, shape=[x_dim, y_dim], dtype=dtypes.float32)
318 self.assertEqual([x_dim, y_dim], dropout.get_shape())
328 expected_count = x_dim * y_dim * keep_prob * num_iter
339 y_dim = 3
342 t = constant_op.constant(1.0, shape=[x_dim, y_dim], dtype=dtypes.float32)
344 self.assertEqual([x_dim, y_dim], dropout.get_shape())
355 expected_count = x_dim * y_dim * keep_prob * num_iter
363 y_dim = 30
366 t = constant_op.constant(1.0, shape=[x_dim, y_dim], dtype=dtypes.float32)
[all …]
/external/tensorflow/tensorflow/contrib/image/ops/
Dsingle_image_random_dot_stereograms_ops.cc56 DimensionHandle y_dim = c->Dim(output_image_shape, 1); in __anonbda156eb0102() local
63 {y_dim, x_dim, colors > 256 ? c->MakeDim(3) : c->MakeDim(1)})); in __anonbda156eb0102()
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
Dtensor_signature.py81 for dim, (x_dim, y_dim) in enumerate(zip(this.dims, other.dims)):
84 if not x_dim.is_compatible_with(y_dim):
/external/tensorflow/tensorflow/python/framework/
Dtensor_shape.py1054 for x_dim, y_dim in zip(self._dims, other.dims):
1055 if not x_dim.is_compatible_with(y_dim):
/external/libcups/cups/
Dppd-cache.c2953 *x_dim, *y_dim; /* Media dimensions */ in _ppdCreateFromIPP() local
3236 y_dim = ippFindAttribute(media_size, "y-dimension", IPP_TAG_INTEGER); in _ppdCreateFromIPP()
3238 …if (x_dim && y_dim && (pwg = pwgMediaForSize(ippGetInteger(x_dim, 0), ippGetInteger(y_dim, 0))) !=… in _ppdCreateFromIPP()
3267 y_dim = ippFindAttribute(media_size, "y-dimension", IPP_TAG_INTEGER); in _ppdCreateFromIPP()
3269 pwg = pwgMediaForSize(ippGetInteger(x_dim, 0), ippGetInteger(y_dim, 0)); in _ppdCreateFromIPP()
3307 y_dim = ippFindAttribute(media_size, "y-dimension", IPP_TAG_INTEGER); in _ppdCreateFromIPP()
3309 pwg = pwgMediaForSize(ippGetInteger(x_dim, 0), ippGetInteger(y_dim, 0)); in _ppdCreateFromIPP()
3343 y_dim = ippFindAttribute(media_size, "y-dimension", IPP_TAG_INTEGER); in _ppdCreateFromIPP()
3345 pwg = pwgMediaForSize(ippGetInteger(x_dim, 0), ippGetInteger(y_dim, 0)); in _ppdCreateFromIPP()
/external/tensorflow/tensorflow/core/ops/
Darray_ops.cc1751 int64 y_dim = c->Value(c->Dim(shape_y, 0)); in __anon7c94107b2902() local
1754 c->set_output(0, c->Vector(std::max(x_dim, y_dim))); in __anon7c94107b2902()