Python gen_math_ops.imag方法代码示例

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def imag(input, name=None):
  """Returns the imaginary part of a complex number.

  Given a tensor `input` of complex numbers, this operation returns a tensor of
  type `float32` or `float64` that is the imaginary part of each element in
  `input`. All elements in `input` must be complex numbers of the form \\(a +
  bj\\), where *a* is the real part and *b* is the imaginary part returned by
  this operation.

  For example:

  ```
  # tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
  tf.imag(input) ==> [4.75, 5.75]
  ```

  Args:
    input: A `Tensor`. Must be one of the following types: `complex64`, `complex128`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `float32` or `float64`.
  """
  with ops.name_scope(name, "Imag", [input]) as name:
    return gen_math_ops.imag(input, Tout=input.dtype.real_dtype, name=name) 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def imag(input, name=None):
  r"""Returns the imaginary part of a complex number.

  Given a tensor `input` of complex numbers, this operation returns a tensor of
  type `float` that is the argument of each element in `input`. All elements in
  `input` must be complex numbers of the form \\(a + bj\\), where *a*
  is the real part and *b* is the imaginary part returned by the operation.

  For example:

  ```python
  x = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j])
  tf.imag(x)  # [4.75, 5.75]
  ```

  Args:
    input: A `Tensor`. Must be one of the following types: `complex64`,
      `complex128`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `float32` or `float64`.
  """
  with ops.name_scope(name, "Imag", [input]) as name:
    return gen_math_ops.imag(input, Tout=input.dtype.real_dtype, name=name) 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def complex(real, imag, name=None):
  r"""Converts two real numbers to a complex number.

  Given a tensor `real` representing the real part of a complex number, and a
  tensor `imag` representing the imaginary part of a complex number, this
  operation returns complex numbers elementwise of the form \\(a + bj\\), where
  *a* represents the `real` part and *b* represents the `imag` part.

  The input tensors `real` and `imag` must have the same shape.

  For example:

  ```
  # tensor 'real' is [2.25, 3.25]
  # tensor `imag` is [4.75, 5.75]
  tf.complex(real, imag) ==> [[2.25 + 4.75j], [3.25 + 5.75j]]
  ```

  Args:
    real: A `Tensor`. Must be one of the following types: `float32`,
      `float64`.
    imag: A `Tensor`. Must have the same type as `real`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `complex64` or `complex128`.
  """
  real = ops.convert_to_tensor(real, name="real")
  imag = ops.convert_to_tensor(imag, name="imag")
  with ops.name_scope(name, "Complex", [real, imag]) as name:
    input_types = (real.dtype, imag.dtype)
    if input_types == (dtypes.float64, dtypes.float64):
      Tout = dtypes.complex128
    elif input_types == (dtypes.float32, dtypes.float32):
      Tout = dtypes.complex64
    else:
      raise TypeError("real and imag have incorrect types: "
                      "{} {}".format(real.dtype.name, imag.dtype.name))
    return gen_math_ops._complex(real, imag, Tout=Tout, name=name) 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def imag(input, name=None):
  r"""Returns the imaginary part of a complex number.

  Given a tensor `input` of complex numbers, this operation returns a tensor of
  type `float32` or `float64` that is the imaginary part of each element in
  `input`. All elements in `input` must be complex numbers of the form \\(a +
  bj\\), where *a* is the real part and *b* is the imaginary part returned by
  this operation.

  For example:

  ```
  # tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
  tf.imag(input) ==> [4.75, 5.75]
  ```

  Args:
    input: A `Tensor`. Must be one of the following types: `complex64`,
      `complex128`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `float32` or `float64`.
  """
  with ops.name_scope(name, "Imag", [input]) as name:
    return gen_math_ops.imag(input, Tout=input.dtype.real_dtype, name=name)


# pylint: enable=redefined-outer-name,redefined-builtin 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def complex(real, imag, name=None):
  r"""Converts two real numbers to a complex number.

  Given a tensor `real` representing the real part of a complex number, and a
  tensor `imag` representing the imaginary part of a complex number, this
  operation returns complex numbers elementwise of the form \\(a + bj\\), where
  *a* represents the `real` part and *b* represents the `imag` part.

  The input tensors `real` and `imag` must have the same shape.

  For example:

  ```
  # tensor 'real' is [2.25, 3.25]
  # tensor `imag` is [4.75, 5.75]
  tf.complex(real, imag) ==> [[2.25 + 4.75j], [3.25 + 5.75j]]
  ```

  Args:
    real: A `Tensor`. Must be one of the following types: `float32`,
      `float64`.
    imag: A `Tensor`. Must have the same type as `real`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `complex64` or `complex128`.
  """
  real = ops.convert_to_tensor(real, name="real")
  imag = ops.convert_to_tensor(imag, name="imag")
  with ops.name_scope(name, "Complex", [real, imag]) as name:
    input_types = (real.dtype, imag.dtype)
    if input_types == (dtypes.float64, dtypes.float64):
      Tout = dtypes.complex128
    elif input_types == (dtypes.float32, dtypes.float32):
      Tout = dtypes.complex64
    else:
      raise TypeError("real and imag have incorrect types: "
                      "{} {}".format(real.dtype.name,
                                     imag.dtype.name))
    return gen_math_ops._complex(real, imag, Tout=Tout, name=name) 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def imag(input, name=None):
  """Returns the imaginary part of a complex number.

  Given a tensor `input` of complex numbers, this operation returns a tensor of
  type `float32` or `float64` that is the imaginary part of each element in
  `input`. All elements in `input` must be complex numbers of the form \\(a +
  bj\\), where *a* is the real part and *b* is the imaginary part returned by
  this operation.

  For example:

  ```
  # tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
  tf.imag(input) ==> [4.75, 5.75]
  ```

  Args:
    input: A `Tensor`. Must be one of the following types: `complex64`,
      `complex128`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `float32` or `float64`.
  """
  with ops.name_scope(name, "Imag", [input]) as name:
    return gen_math_ops.imag(input, Tout=input.dtype.real_dtype, name=name)


# pylint: enable=redefined-outer-name,redefined-builtin 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def complex(real, imag, name=None):
  """Converts two real numbers to a complex number.

  Given a tensor `real` representing the real part of a complex number, and a
  tensor `imag` representing the imaginary part of a complex number, this
  operation returns complex numbers elementwise of the form \\(a + bj\\), where
  *a* represents the `real` part and *b* represents the `imag` part.

  The input tensors `real` and `imag` must have the same shape.

  For example:

  ```
  # tensor 'real' is [2.25, 3.25]
  # tensor `imag` is [4.75, 5.75]
  tf.complex(real, imag) ==> [[2.25 + 4.75j], [3.25 + 5.75j]]
  ```

  Args:
    real: A `Tensor`. Must be one of the following types: `float32`, `float64`.
    imag: A `Tensor`. Must have the same type as `real`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `complex64` or `complex128`.
  """
  real = ops.convert_to_tensor(real, name="real")
  imag = ops.convert_to_tensor(imag, name="imag")
  with ops.name_scope(name, "Complex", [real, imag]) as name:
    input_types = (real.dtype, imag.dtype)
    if input_types == (dtypes.float64, dtypes.float64):
      Tout = dtypes.complex128
    elif input_types == (dtypes.float32, dtypes.float32):
      Tout = dtypes.complex64
    else:
      raise TypeError("real and imag have incorrect types: "
                      "{} {}".format(real.dtype.name, imag.dtype.name))
    return gen_math_ops._complex(real, imag, Tout=Tout, name=name) 

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import imag [as 别名]
def complex(real, imag, name=None):
  r"""Converts two real numbers to a complex number.

  Given a tensor `real` representing the real part of a complex number, and a
  tensor `imag` representing the imaginary part of a complex number, this
  operation returns complex numbers elementwise of the form \\(a + bj\\), where
  *a* represents the `real` part and *b* represents the `imag` part.

  The input tensors `real` and `imag` must have the same shape.

  For example:

  ```python
  real = tf.constant([2.25, 3.25])
  imag = tf.constant([4.75, 5.75])
  tf.complex(real, imag)  # [[2.25 + 4.75j], [3.25 + 5.75j]]
  ```

  Args:
    real: A `Tensor`. Must be one of the following types: `float32`,
      `float64`.
    imag: A `Tensor`. Must have the same type as `real`.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` of type `complex64` or `complex128`.
  """
  real = ops.convert_to_tensor(real, name="real")
  imag = ops.convert_to_tensor(imag, name="imag")
  with ops.name_scope(name, "Complex", [real, imag]) as name:
    input_types = (real.dtype, imag.dtype)
    if input_types == (dtypes.float64, dtypes.float64):
      Tout = dtypes.complex128
    elif input_types == (dtypes.float32, dtypes.float32):
      Tout = dtypes.complex64
    else:
      raise TypeError("real and imag have incorrect types: "
                      "{} {}".format(real.dtype.name, imag.dtype.name))
    return gen_math_ops._complex(real, imag, Tout=Tout, name=name)