vbatts/llama.cpp
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Meng, Hengyu 2024-08-26 08:58:54 +00:00
parent b180cb352b
commit 6494509801
6 changed files with 81 additions and 33 deletions
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31
tests/test-backend-ops.cpp
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@ -1337,6 +1337,35 @@ struct test_conv_2d : public test_case {
}
};
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 s0; // stride
const int p0; // padding
const int d0; // dilation
const int s1; // stride
const int p1; // padding
const int d1; // dilation
std::string vars() override {
return VARS_TO_STR5(ne_input, ne_kernel, s0, p0, d0);
}
test_conv_transpose_2d(std::array<int64_t, 4> ne_input = {197, 32, 1, 1}, // [input_width, input_height, input_channels, 1]
std::array<int64_t, 4> ne_kernel = {16, 32, 32, 1}, // [kernel_width, kernel_height, input_channels, 1]
int s0 = 1, int p0 = 0, int d0 = 1,
int s1 = 1, int p1 = 0, int d1 = 1)
: ne_input(ne_input), ne_kernel(ne_kernel), s0(s0), p0(p0), d0(d0), s1(s1), p1(p1), d1(d1){}
ggml_tensor * build_graph(ggml_context * ctx) override {
ggml_tensor * input = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne_input.data());
ggml_tensor * kernel = ggml_new_tensor(ctx, GGML_TYPE_F16, 4, ne_kernel.data());
ggml_tensor * out = ggml_conv_transpose_2d(ctx, kernel, input, s0, s1, p0, p1, d0, d1);
return out;
}
};
// GGML_OP_IM2COL
struct test_im2col : public test_case {
const ggml_type type_input;
@ -2189,7 +2218,7 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
test_cases.emplace_back(new test_conv_transpose_1d({3,2,1,1}, {3,2,2,1}, 1, 0, 1));
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_2d());
test_cases.emplace_back(new test_conv_transpose_2d());
test_cases.emplace_back(new test_repeat(GGML_TYPE_F32, {10, 10, 10, 10}, {1, 1, 1, 1}));