Tile API

Programming model

`Tile`	A tile is a multi-dimensional array of values in local memory (Unified Buffer, L1 Cache, etc.)
`Tensor`	A tensor is a contiguous ND-array of values in Global Memory.
`tensor`	Define a new tensor.
`block_idx`
`block_num`
`num_tiles`

`load`
`store`

`add`	Computes the element-wise addition of `input` and `other`.
`div`	Computes the element-wise division of `input` and `other`.
`equal`	Computes the element-wise 'equality' comparison of `input` and `other`.
`greater`	Computes the element-wise 'greater' comparison of `input` and `other`.
`greater_equal`	Computes the element-wise 'greater or equal' comparison of `input` and `other`.
`left_shift`	Computes the element-wise left shift (bitwise) of `input` and `other`.
`less`	Computes the element-wise 'less' comparison of `input` and `other`.
`less_equal`	Computes the element-wise 'less or equal' comparison of `input` and `other`.
`matmul`	Computes the matrix multiplication of `input` and `other`.
`maximum`	Computes the element-wise maximum of `input` and `other`.
`minimum`	Computes the element-wise minimum of `input` and `other`.
`mul`	Computes the element-wise multiplication of `input` and `other`.
`not_equal`	Computes the element-wise 'inequality' comparison of `input` and `other`.
`right_shift`	Computes the element-wise right shift (bitwise) of `input` and `other`.
`sub`	Computes the element-wise subtraction of `input` and `other`.

`abs`	Computes the element-wise absolute value of `input`.
`ceil`	Computes the element-wise ceil rounding of `input`.
`cos`	Computes the element-wise cosine of `input`.
`cosh`	Computes the element-wise hyperbolic cosine of `input`.
`erf`	Computes the element-wise error function of `input`.
`exp`	Computes the element-wise exponential of `input`.
`exp2`	Computes the element-wise exponential (base 2) of `input`.
`floor`	Computes the element-wise floor rounding of `input`.
`log`	Computes the element-wise natural logarithm of `input`.
`log2`	Computes the element-wise logarithm (base 2) of `input`.
`negative`	Computes the element-wise negation of `input`.
`relu`	Computes the element-wise ReLU value of `input`.
`rsqrt`	Computes the element-wise inverse square root of `input`.
`sin`	Computes the element-wise sine of `input`.
`sinh`	Computes the element-wise hyperbolic sine of `input`.
`sqrt`	Computes the element-wise square root of `input`.
`softmax`	Computes the element-wise softmax of `input`.
`tan`	Computes the element-wise tangent of `input`.
`tanh`	Computes the element-wise hyperbolic tangent of `input`.

`mask`
`where`

`reduce_min`	Returns the minimum value of each row of the `input` tile in the given dimensions `dims`.
`reduce_max`	Returns the maximum value of each row of the `input` tile in the given dimensions `dims`.
`reduce_sum`	Returns the sum of each row of the `input` tile in the given dimensions `dims`.
`reduce_prod`	Returns the product of each row of the `input` tile in the given dimensions `dims`.

`broadcast_to`	This function can also be called as a member function on `Tile`, as `x.broadcast_to(...)` instead of `broadcast_to(x, ...)`.
`expand_dims`	This function can also be called as a member function on `Tile`, as `x.expand_dims(...)` instead of `expand_dims(x, ...)`.
`reshape`	This function can also be called as a member function on `Tile`, as `x.reshape(...)` instead of `reshape(x, ...)`.
`squeeze`	This function can also be called as a member function on `Tile`, as `x.squeeze(...)` instead of `squeeze(x, ...)`.