fix pow, div, log operations
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parent
ca4a0f0dbc
commit
065c6a0f29
15 changed files with 160 additions and 51 deletions
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@ -411,6 +411,57 @@ extern "C" {
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}
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}
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Tensor* tensor_div_tensor(Tensor* tensor1, Tensor* tensor2) {
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if (tensor1->ndim != tensor2->ndim) {
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fprintf(stderr, "Tensors must have the same number of dimensions %d and %d for element-wise multiplication\n", tensor1->ndim, tensor2->ndim);
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exit(1);
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}
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if (strcmp(tensor1->device, tensor2->device) != 0) {
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fprintf(stderr, "Tensors must be on the same device: %s and %s\n", tensor1->device, tensor2->device);
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exit(1);
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}
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char* device = (char*)malloc(strlen(tensor1->device) + 1);
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if (device != NULL) {
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strcpy(device, tensor1->device);
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} else {
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fprintf(stderr, "Memory allocation failed\n");
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exit(-1);
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}
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int ndim = tensor1->ndim;
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int* shape = (int*)malloc(ndim * sizeof(int));
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if (shape == NULL) {
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fprintf(stderr, "Memory allocation failed\n");
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exit(1);
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}
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for (int i = 0; i < ndim; i++) {
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if (tensor1->shape[i] != tensor2->shape[i]) {
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fprintf(stderr, "Tensors must have the same shape %d and %d at index %d for subtraction\n", tensor1->shape[i], tensor2->shape[i], i);
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exit(1);
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}
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shape[i] = tensor1->shape[i];
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}
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if (strcmp(tensor1->device, "cuda") == 0) {
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float* result_data;
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cudaMalloc((void **)&result_data, tensor1->size * sizeof(float));
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tensor_div_tensor_cuda(tensor1, tensor2, result_data);
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return create_tensor(result_data, shape, ndim, device);
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}
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else {
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float* result_data = (float*)malloc(tensor1->size * sizeof(float));
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if (result_data == NULL) {
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fprintf(stderr, "Memory allocation failed\n");
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exit(1);
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}
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tensor_div_tensor_cpu(tensor1, tensor2, result_data);
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return create_tensor(result_data, shape, ndim, device);
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}
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}
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Tensor* matmul_tensor(Tensor* tensor1, Tensor* tensor2) {
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//MxN @ NxP = MxP
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// Check if tensors have compatible shapes for matrix multiplication
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