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    Searched refs:grad_y (Results 1 - 7 of 7) sorted by null

/external/tensorflow/tensorflow/python/ops/
gradients_impl.py	227 grad_ys = ops.convert_n_to_tensor_or_indexed_slices(grad_ys, name="grad_y") 230 grad_y = grad_ys[i] 233 if grad_y is None: 244 if not grad_y.dtype.is_floating and not grad_y.dtype.is_integer: 248 (dtypes.as_dtype(grad_y.dtype).name, y, 251 if not grad_y.dtype.is_complex: 254 (dtypes.as_dtype(grad_y.dtype).name, y, 260 # Create a grad_y tensor in the name scope of the gradient. 262 # grad_y value is coming from     [all...]
nn_grad.py	763 with grad[0] as grad_y. 767 [grad_y - mean(grad_y) - (x - mean(x)) * 768 mean(grad_y * (x - mean(x))) / (variance + epsilon)] 769 in training mode; grad_y * scale * rsqrt(pop_variance + epsilon) 772 grad_scale: gradient for scale, which is sum(grad_y * (x - mean(x)) * 774 sum(grad_y * (x - pop_mean) * rsqrt(pop_variance + epsilon)) 777 grad_offset: gradient for offset, which is sum(grad_y) in training mode; 778 sum(grad_y) in freeze mode. 781 grad_y = grad[0     [all...]
nn_fused_batchnorm_test.py	257 grad_y = constant_op.constant(grad_y_val, name='grad_y') 275 y, [x, scale, offset], grad_y) 281 grad_internal = nn_grad._BatchNormGrad(grad_y, x, scale, pop_mean, 289 grad_y, x_shape, grad_x, x_shape) 291 grad_y, x_shape, grad_scale, scale_shape) 293 grad_y, x_shape, grad_offset, scale_shape) 318 grad_y, grad_y32, x_shape, grad_x, grad_x32, x_shape) 320 grad_y, grad_y32, x_shape, grad_scale, grad_scale32, scale_shape) 322 grad_y, grad_y32, x_shape, grad_offset, grad_offset32, scale_shape     [all...]
math_grad.py	[all...]
/external/tensorflow/tensorflow/compiler/tests/
fused_batchnorm_test.py	45 def _reference_grad(self, x, grad_y, scale, mean, var, epsilon, data_format): 48 # sum(grad_y * (x - mean)) * rsqrt(var + epsilon) 53 # 1/N * scale * rsqrt(var + epsilon) * (N * grad_y - sum(grad_y) - 54 # (x - mean) * sum(grad_y * (x - mean)) / (var + epsilon)) 57 grad_x = scale * (grad_y - np.mean(grad_y, axis=(0, 1, 2)) - 58 (x - mean) * np.mean(grad_y * 62 grad_y * (x - mean) / np.sqrt(var + epsilon), axis=(0, 1, 2)) 63 grad_offset = np.sum(grad_y, axis=(0, 1, 2)     [all...]
/external/deqp/external/openglcts/modules/glesext/texture_cube_map_array/
esextcTextureCubeMapArraySampling.hpp	347 bufferDefinition grad_y; member in class:glcts::TextureCubeMapArraySamplingTest::bufferCollection
esextcTextureCubeMapArraySampling.cpp	91 const glw::GLchar* const TextureCubeMapArraySamplingTest::attribute_grad_y = "grad_y";     [all...]

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