Array Ops
Summary
Classes |
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tensorflow:: |
BatchToSpace for 4-D tensors of type T. |
tensorflow:: |
BatchToSpace for N-D tensors of type T. |
tensorflow:: |
Bitcasts a tensor from one type to another without copying data. |
tensorflow:: |
Return the shape of s0 op s1 with broadcast. |
tensorflow:: |
Broadcast an array for a compatible shape. |
tensorflow:: |
Checks a tensor for NaN and Inf values. |
tensorflow:: |
Concatenates tensors along one dimension. |
tensorflow:: |
Shuffle dimensions of x according to a permutation and conjugate the result. |
tensorflow:: |
Identity op for gradient debugging. |
tensorflow:: |
Identity op for gradient debugging. |
tensorflow:: |
Makes a copy of |
tensorflow:: |
DepthToSpace for tensors of type T. |
tensorflow:: |
Dequantize the 'input' tensor into a float or bfloat16 Tensor. |
tensorflow:: |
Returns a diagonal tensor with a given diagonal values. |
tensorflow:: |
Returns the diagonal part of the tensor. |
tensorflow:: |
Computes the (possibly normalized) Levenshtein Edit Distance. |
tensorflow:: |
Creates a tensor with the given shape. |
tensorflow:: |
Ensures that the tensor's shape matches the expected shape. |
tensorflow:: |
Inserts a dimension of 1 into a tensor's shape. |
tensorflow:: |
Extract |
tensorflow:: |
Extract |
tensorflow:: |
Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type. |
tensorflow:: |
Compute gradients for a FakeQuantWithMinMaxArgs operation. |
tensorflow:: |
Fake-quantize the 'inputs' tensor of type float via global float scalars. |
tensorflow:: |
Compute gradients for a FakeQuantWithMinMaxVars operation. |
tensorflow:: |
Fake-quantize the 'inputs' tensor of type float via per-channel floats. |
tensorflow:: |
Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation. |
tensorflow:: |
Creates a tensor filled with a scalar value. |
tensorflow:: |
Generates fingerprint values. |
tensorflow:: |
Gather slices from |
tensorflow:: |
Gather slices from |
tensorflow:: |
Gather slices from |
tensorflow:: |
Gives a guarantee to the TF runtime that the input tensor is a constant. |
tensorflow:: |
Return a tensor with the same shape and contents as the input tensor or value. |
tensorflow:: |
Returns a list of tensors with the same shapes and contents as the input. |
tensorflow:: |
Returns immutable tensor from memory region. |
tensorflow:: |
Adds v into specified rows of x. |
tensorflow:: |
Subtracts |
tensorflow:: |
Updates specified rows 'i' with values 'v'. |
tensorflow:: |
Computes the inverse permutation of a tensor. |
tensorflow:: |
Copy a tensor setting everything outside a central band in each innermost matrix to zero. |
tensorflow:: |
Returns a batched diagonal tensor with a given batched diagonal values. |
tensorflow:: |
Returns the batched diagonal part of a batched tensor. |
tensorflow:: |
Returns the batched diagonal part of a batched tensor. |
tensorflow:: |
Returns the batched diagonal part of a batched tensor. |
tensorflow:: |
Returns a batched diagonal tensor with given batched diagonal values. |
tensorflow:: |
Returns a batched diagonal tensor with given batched diagonal values. |
tensorflow:: |
Returns a batched matrix tensor with new batched diagonal values. |
tensorflow:: |
Returns a batched matrix tensor with new batched diagonal values. |
tensorflow:: |
Returns a batched matrix tensor with new batched diagonal values. |
tensorflow:: |
Pads a tensor with mirrored values. |
tensorflow:: |
Returns a one-hot tensor. |
tensorflow:: |
Returns a tensor of ones with the same shape and type as x. |
tensorflow:: |
Pads a tensor with zeros. |
tensorflow:: |
Pads a tensor. |
tensorflow:: |
Concatenates a list of |
tensorflow:: |
A placeholder op for a value that will be fed into the computation. |
tensorflow:: |
A placeholder op that passes through |
tensorflow:: |
An identity op that triggers an error if a gradient is requested. |
tensorflow:: |
Quantizes then dequantizes a tensor. |
tensorflow:: |
Quantizes then dequantizes a tensor. |
tensorflow:: |
Quantizes then dequantizes a tensor. |
tensorflow:: |
Returns the gradient of |
tensorflow:: |
Quantize the 'input' tensor of type float to 'output' tensor of type 'T'. |
tensorflow:: |
Concatenates quantized tensors along one dimension. |
tensorflow:: |
Quantized Instance normalization. |
tensorflow:: |
Computes the difference between two lists of numbers or strings. |
tensorflow:: |
Packs a list of |
tensorflow:: |
Reshapes a quantized tensor as per the Reshape op. |
tensorflow:: |
Returns a tensor of zeros with the same shape and type as x. |