Searched refs:grad_y (Results 1 – 9 of 9) sorted by relevance
218 grad_y = grad_ys[i]221 if grad_y is None:232 if not grad_y.dtype.is_floating and not grad_y.dtype.is_integer:236 "real or integer" % (dtypes.as_dtype(grad_y.dtype).name, y,239 if not grad_y.dtype.is_complex:243 grad_y.dtype).name, y, dtypes.as_dtype(y.dtype).name))245 if grad_y.dtype != dtypes.variant:249 grad_y.dtype).name, y, dtypes.as_dtype(y.dtype).name))253 if grad_y.dtype == dtypes.resource:255 "be a resource" % (grad_y, y))[all …]
859 grad_y = grad[0]869 grad_y,882 grad_y = array_ops.transpose(grad_y, [0, 2, 3, 1])884 grad_y,907 def _BatchNormGrad(grad_y, argument940 grad_y = math_ops.cast(grad_y, dtypes.float32)950 mean_grad_y = math_ops.reduce_mean(grad_y, reduce_axis, keepdims=keepdims)956 grad_y_offset = grad_y - mean_grad_y959 grad_y * x_offset, axis=reduce_axis, keepdims=keepdims)963 grad_y * x_offset, axis=reduce_axis, keepdims=keepdims)[all …]
258 grad_y = constant_op.constant(grad_y_val, name='grad_y')276 y, [x, scale, offset], grad_y)282 grad_internal = nn_grad._BatchNormGrad(grad_y, x, scale, pop_mean,290 grad_y, x_shape, grad_x, x_shape)292 grad_y, x_shape, grad_scale, scale_shape)294 grad_y, x_shape, grad_offset, scale_shape)319 grad_y, grad_y32, x_shape, grad_x, grad_x32, x_shape)321 grad_y, grad_y32, x_shape, grad_scale, grad_scale32, scale_shape)323 grad_y, grad_y32, x_shape, grad_offset, grad_offset32, scale_shape)
281 for y, grad_y in zip(func_graph.outputs, grads):285 grad_ys.append(grad_y)
1255 grad_y = math_ops.matmul(x, grad, adjoint_a=True, adjoint_b=False)1258 grad_y = math_ops.matmul(grad, x, adjoint_a=True, adjoint_b=False)1262 grad_y = math_ops.matmul(x, grad, adjoint_a=False, adjoint_b=False)1265 grad_y = math_ops.matmul(grad, x, adjoint_a=True, adjoint_b=True)1267 return grad_x, grad_y
52 def _reference_grad(self, x, grad_y, scale, mean, var, epsilon, data_format): argument64 grad_x = scale * (grad_y - np.mean(grad_y, axis=(0, 1, 2)) -65 (x - mean) * np.mean(grad_y *69 grad_y * (x - mean) / np.sqrt(var + epsilon), axis=(0, 1, 2))70 grad_offset = np.sum(grad_y, axis=(0, 1, 2))
1073 void prepareGradYForFace(glw::GLfloat* grad_y, glw::GLuint face, glw::GLfloat* texture_coordinates,… in prepareGradYForFace() argument1084 …getTopNeighbour(texture_coordinates + texture_coordinates_offset, face, 1, width, grad_y + grad_of… in prepareGradYForFace()1092 …getTopNeighbour(texture_coordinates + texture_coordinates_offset, face, 4 * width, width, grad_y +… in prepareGradYForFace()1100 vectorSubtractInPlace<3>(grad_y + grad_offset, texture_coordinates + texture_coordinates_offset); in prepareGradYForFace()3555 buffer = &buffers.grad_y; in setupSharedStorageBuffer()4103 …grad_y.init(gl, (glw::GLsizeiptr)(grad_y_buffer_data.size() * sizeof(glw::GLfloat)), &grad_y_buffe…5140 buffer = &buffers.grad_y;
347 bufferDefinition grad_y; member in glcts::TextureCubeMapArraySamplingTest::bufferCollection
1156 grad_y = constant_op.constant(0, dtype=dtype)1158 g = gradients_impl.gradients(y, args, grad_ys=grad_y)