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	CUDA: add conv_2d_transpose (#14287)
* CUDA: add conv_2d_transpose * remove direct include of cuda_fp16 * Review: add brackets for readability, remove ggml_set_param and add asserts
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		| @@ -2725,6 +2725,35 @@ struct test_conv_transpose_1d : public test_case { | ||||
|     } | ||||
| }; | ||||
|  | ||||
| // GGML_OP_CONV_TRANSPOSE_2D | ||||
| struct test_conv_transpose_2d : public test_case { | ||||
|     const std::array<int64_t, 4> ne_input; | ||||
|     const std::array<int64_t, 4> ne_kernel; | ||||
|     const int stride; | ||||
|  | ||||
|     std::string vars() override { | ||||
|         return VARS_TO_STR3(ne_input, ne_kernel, stride); | ||||
|     } | ||||
|  | ||||
|     test_conv_transpose_2d(std::array<int64_t, 4> ne_input = {10, 10, 3, 1}, // [input_width, input_height, input_channels, 1] | ||||
|                            std::array<int64_t, 4> ne_kernel = {3, 3, 3, 1}, // [kernel_width, kernel_height, input_channels, 1] | ||||
|                            int stride = 1) | ||||
|         : ne_input(ne_input), ne_kernel(ne_kernel), stride(stride){} | ||||
|  | ||||
|     ggml_tensor * build_graph(ggml_context * ctx) override { | ||||
|         ggml_tensor * input = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne_input.data()); | ||||
|         ggml_set_name(input, "input"); | ||||
|  | ||||
|         ggml_tensor * kernel = ggml_new_tensor(ctx, GGML_TYPE_F16, 4, ne_kernel.data()); | ||||
|         ggml_set_name(kernel, "kernel"); | ||||
|  | ||||
|         ggml_tensor * out = ggml_conv_transpose_2d_p0(ctx, kernel, input, stride); | ||||
|         ggml_set_name(out, "out"); | ||||
|  | ||||
|         return out; | ||||
|     } | ||||
| }; | ||||
|  | ||||
| // GGML_OP_IM2COL | ||||
| struct test_im2col : public test_case { | ||||
|     const ggml_type type_input; | ||||
| @@ -4050,6 +4079,9 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() { | ||||
|     test_cases.emplace_back(new test_conv_transpose_1d({3,2,1,1}, {3,1,2,1}, 1, 0, 1)); | ||||
|     test_cases.emplace_back(new test_conv_transpose_1d({2,1,1,1}, {3,1,1,1}, 1, 0, 1)); | ||||
|  | ||||
|     test_cases.emplace_back(new test_conv_transpose_2d({3, 2, 3, 1}, {2, 2, 1, 3}, 1)); | ||||
|     test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 1}, {3, 3, 1, 9}, 2)); | ||||
|  | ||||
|     test_cases.emplace_back(new test_count_equal(GGML_TYPE_F32, {4,  500, 1, 1})); | ||||
|     test_cases.emplace_back(new test_count_equal(GGML_TYPE_F32, {4, 5000, 1, 1})); | ||||
|  | ||||
| @@ -4618,6 +4650,8 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_perf() { | ||||
|     test_cases.emplace_back(new test_conv_2d_dw({512, 512, 256, 1}, {3, 3, 1, 256}, 1, 1, 1, false)); | ||||
|     test_cases.emplace_back(new test_conv_2d_dw({512, 512, 256, 1}, {3, 3, 1, 256}, 1, 1, 1, true)); | ||||
|  | ||||
|     test_cases.emplace_back(new test_conv_transpose_2d({256, 256, 256, 1}, {3, 3, 16, 256}, 1)); | ||||
|  | ||||
|     return test_cases; | ||||
| } | ||||
|  | ||||
|   | ||||
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