Implement simple utility for tensors printing

Relate-To: #104, #108

Author: michalharakal

settings.gradle.kts

@@ -21,3 +21,5 @@ include("skainet-core:skainet-performance")
 include("skainet-core:skainet-reflection")
 include("skainet-nn:skainet-nn-api")
 include("skainet-nn:skainet-nn-relection")
+//include("skainet-data:skainet-data-api")
+//include("skainet-data:skainet-data-simple")

skainet-core/skainet-tensors-api/src/commonMain/kotlin/sk/ainet/core/tensor/DType.kt

@@ -22,6 +22,11 @@ public object Int8 : DType {
     override val name: String = "Int8"
 }
 
+public object Int32 : DType {
+    override val sizeInBits: Int = 32
+    override val name: String = "Int32"
+}
+
 public object FP16 : DType {
     override val sizeInBits: Int = 16
     override val name: String = "Float16"

skainet-core/skainet-tensors-api/src/commonMain/kotlin/sk/ainet/core/tensor/Tensor.kt

@@ -7,5 +7,5 @@ package sk.ainet.core.tensor
  * The [shape] property defines the dimensions of the tensor, and the [get] operator
  * allows accessing individual elements by their indices.
  */
-public interface Tensor<T : DType, V> : TensorData<T, V>, TensorOps<Tensor<T, V>>
+public interface Tensor<T : DType, V> : TensorData<T, V>, TensorOps<T, V, Tensor<T, V>>
 

skainet-core/skainet-tensors-api/src/commonMain/kotlin/sk/ainet/core/tensor/TensorOps.kt

@@ -6,7 +6,7 @@ package sk.ainet.core.tensor
  * Keeps math separate from storage, so the same math API can work
  * with multiple backends (dense, sparse, GPU, etc.).
  */
-public interface TensorOps<T : Tensor<*, *>> {
+public interface TensorOps<D : DType, V, T : Tensor<D, V>> {
     /**
      * Performs matrix multiplication of two tensors.
      *

skainet-core/skainet-tensors-api/src/commonMain/kotlin/sk/ainet/core/tensor/backend/ComputeBackend.kt

@@ -12,7 +12,7 @@ import sk.ainet.core.tensor.TensorOps
  * hardware platform (CPU, GPU, etc.). Different backends can provide different
  * implementations of the same operations, optimized for their target platform.
  */
-public interface ComputeBackend<D : DType, V> : TensorOps<Tensor<D, V>> {
+public interface ComputeBackend<D : DType, V> : TensorOps<D, V, Tensor<D, V>> {
     /**
      * The name of the backend.
      */