}

def TF_ConvOp : TF_Op<"Conv", [Pure]> {
  let summary = [{
Computes a N-D convolution given (N+1+batch_dims)-D `input` and (N+2)-D `filter` tensors.
  }];

  let description = [{
General function for computing a N-D convolution. It is required that
`1 <= N <= 3`.
  }];

  let arguments = (ins

    Intel developed a number of optimized deep learning primitives: In addition
    to matrix multiplication and convolution, these building blocks include:
    Direct batched convolution Pooling: maximum, minimum, average Normalization:
    LRN, batch normalization Activation: rectified linear unit (ReLU) Data