  void Compute(OpKernelContext* ctx) override {
    const Tensor& in0 = ctx->input(0);
    const Tensor& in1 = ctx->input(1);

    ValidateInputTensors(ctx, in0, in1);
    if (!ctx->status().ok()) {
      return;
    }

    MatMulBCast bcast(in0.shape().dim_sizes(), in1.shape().dim_sizes());
    OP_REQUIRES(
        ctx, bcast.IsValid(),
        errors::InvalidArgument(
            "In[0] and In[1] must have compatible batch dimensions: ",
            in0.shape().DebugString(), " vs. ", in1.shape().DebugString()));

    TensorShape out_shape = bcast.output_batch_shape();
    auto batch_size = bcast.output_batch_size();
    auto d0 = in0.dim_size(in0.dims() - 2);
    auto d1 = in0.dim_size(in0.dims() - 1);
    Tensor in0_reshaped;
    OP_REQUIRES(
        ctx,
        in0_reshaped.CopyFrom(in0, TensorShape({bcast.x_batch_size(), d0, d1})),
        errors::Internal("Failed to reshape In[0] from ",
                         in0.shape().DebugString()));
    auto d2 = in1.dim_size(in1.dims() - 2);
    auto d3 = in1.dim_size(in1.dims() - 1);
    Tensor in1_reshaped;
    OP_REQUIRES(
        ctx,
        in1_reshaped.CopyFrom(in1, TensorShape({bcast.y_batch_size(), d2, d3})),
        errors::Internal("Failed to reshape In[1] from ",
                         in1.shape().DebugString()));
    if (adjoint_) std::swap(d0, d1);
    OP_REQUIRES(ctx, d1 == d2,
                errors::InvalidArgument(
                    "In[0] mismatch In[1] shape: ", d1, " vs. ", d2, ": ",
                    in0.shape().DebugString(), " ", in1.shape().DebugString(),
                    " ", lower_, " ", adjoint_));
    out_shape.AddDim(d0);
    out_shape.AddDim(d3);
    Tensor* out = nullptr;
    OP_REQUIRES_OK(ctx, ctx->allocate_output(0, out_shape, &out));
    if (out->NumElements() == 0) {
      return;
    }
    Tensor out_reshaped;
    OP_REQUIRES(ctx,
                out_reshaped.CopyFrom(*out, TensorShape({batch_size, d0, d3})),
                errors::Internal("Failed to reshape output from ",
                                 out->shape().DebugString()));
    LaunchBatchMatrixTriangularSolve<Device, Scalar>::Launch(
        ctx, in0_reshaped, in1_reshaped, adjoint_, lower_, bcast,
        &out_reshaped);
  }
  void Compute(OpKernelContext* ctx) override {
    const Tensor& in0 = ctx->input(0);
    const Tensor& in1 = ctx->input(1);

    ValidateInputTensors(ctx, in0, in1);
    if (!ctx->status().ok()) {
      return;
    }

    MatMulBCast bcast(in0.shape().dim_sizes(), in1.shape().dim_sizes());
    OP_REQUIRES(
        ctx, bcast.IsValid(),
        errors::InvalidArgument(
            "In[0] and In[1] must have compatible batch dimensions: ",
            in0.shape().DebugString(), " vs. ", in1.shape().DebugString()));

    TensorShape out_shape = bcast.output_batch_shape();
    auto batch_size = bcast.output_batch_size();
    auto d0 = in0.dim_size(in0.dims() - 2);
    auto d1 = in0.dim_size(in0.dims() - 1);
    Tensor in0_reshaped;
    OP_REQUIRES(
        ctx,
        in0_reshaped.CopyFrom(in0, TensorShape({bcast.x_batch_size(), d0, d1})),
        errors::Internal("Failed to reshape In[0] from ",
                         in0.shape().DebugString()));
    auto d2 = in1.dim_size(in1.dims() - 2);
    auto d3 = in1.dim_size(in1.dims() - 1);
    Tensor in1_reshaped;
    OP_REQUIRES(
        ctx,
        in1_reshaped.CopyFrom(in1, TensorShape({bcast.y_batch_size(), d2, d3})),
        errors::Internal("Failed to reshape In[1] from ",
                         in1.shape().DebugString()));
    if (adjoint_) std::swap(d0, d1);
    OP_REQUIRES(ctx, d1 == d2,
                errors::InvalidArgument(
                    "In[0] mismatch In[1] shape: ", d1, " vs. ", d2, ": ",
                    in0.shape().DebugString(), " ", in1.shape().DebugString(),
                    " ", lower_, " ", adjoint_));
    out_shape.AddDim(d0);
    out_shape.AddDim(d3);
    Tensor* out = nullptr;
    OP_REQUIRES_OK(ctx, ctx->allocate_output(0, out_shape, &out));
    if (out->NumElements() == 0) {
      return;
    }
    Tensor out_reshaped;
    OP_REQUIRES(ctx,
                out_reshaped.CopyFrom(*out, TensorShape({batch_size, d0, d3})),
                errors::Internal("Failed to reshape output from ",
                                 out->shape().DebugString()));
    LaunchBatchMatrixTriangularSolve<Device, Scalar>::Launch(
        ctx, in0_reshaped, in1_reshaped, adjoint_, lower_, bcast,
        &out_reshaped);
  }