tests : naming
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1 changed files with 8 additions and 8 deletions
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@ -1259,25 +1259,25 @@ struct test_im2col : public test_case {
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// GGML_OP_CONCAT
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// GGML_OP_CONCAT
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struct test_concat : public test_case {
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struct test_concat : public test_case {
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const ggml_type type;
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const ggml_type type;
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const std::array<int64_t, 4> ne;
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const std::array<int64_t, 4> ne_a;
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const int dim;
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const int dim;
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const int64_t b_ned;
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const int64_t b_ned;
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std::string vars() override {
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std::string vars() override {
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return VARS_TO_STR4(type, ne, dim, b_ned);
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return VARS_TO_STR4(type, ne_a, dim, b_ned);
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}
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}
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test_concat(ggml_type type = GGML_TYPE_F32,
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test_concat(ggml_type type = GGML_TYPE_F32,
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std::array<int64_t, 4> ne = {10, 10, 10, 10},
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std::array<int64_t, 4> ne_a = {10, 10, 10, 10},
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int dim = 2,
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int dim = 2,
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int64_t b_ned = 10)
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int64_t b_ned = 10)
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: type(type), ne(ne), dim(dim), b_ned(b_ned) {}
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: type(type), ne_a(ne_a), dim(dim), b_ned(b_ned) {}
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ggml_tensor * build_graph(ggml_context * ctx) override {
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ggml_tensor * build_graph(ggml_context * ctx) override {
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auto b_ne = ne;
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auto ne_b = ne_a;
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b_ne[dim] = b_ned;
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ne_b[dim] = b_ned;
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ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
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ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne_a.data());
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ggml_tensor * b = ggml_new_tensor(ctx, type, 4, b_ne.data());
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ggml_tensor * b = ggml_new_tensor(ctx, type, 4, ne_b.data());
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ggml_tensor * out = ggml_concat(ctx, a, b, dim);
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ggml_tensor * out = ggml_concat(ctx, a, b, dim);
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return out;
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return out;
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}
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}
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