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feat: cuda implementation for ggml_conv_transpose_1d #854

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feat: cuda implementation for ggml_conv_transpose_1d #854

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70de8b7
conv transpose 1d passing test for 1d input and kernel
balisujohn Jun 10, 2024
f6883de
working for different input and output channel counts, added test for…
balisujohn Jun 11, 2024
f35d3ec
initial draft appears to work with stride other than 1
balisujohn Jun 12, 2024
53a4fcf
working with all old and new conv1d tests
balisujohn Jun 13, 2024
f3bb758
added a test for large tensors
balisujohn Jun 13, 2024
7eff0ab
removed use cuda hardcoding
balisujohn Jun 13, 2024
152e04e
restored test-conv-transpose.c
balisujohn Jun 13, 2024
5d39cd4
removed unused arugments, and fixed bug where test failure would caus…
balisujohn Jun 14, 2024
2e7445e
fixed accumulator bug
balisujohn Jun 15, 2024
ed3b788
added test to test-backend-ops
balisujohn Jun 15, 2024
da3d0d1
fixed mistake
balisujohn Jun 15, 2024
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fixed mistake
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@balisujohn
balisujohn committed Jun 15, 2024
commit da3d0d172f3a68ccbddaa5eafe5b0f169efd8968
4 changes: 2 additions & 2 deletions tests/test-backend-ops.cpp
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Expand Up @@ -1233,7 +1233,7 @@ struct test_conv_transpose_1d : public test_case {
return VARS_TO_STR5(ne_input, ne_kernel, s0, p0, d0);
}

test_conv_transpose_1d(std::array<int64_t, 4> ne_input = {197, 32, 3, 1}, // [input_width, input_height, input_channels, 1]
test_conv_transpose_1d(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)
: ne_input(ne_input), ne_kernel(ne_kernel), s0(s0), p0(p0), d0(d0) {}
Expand Down Expand Up @@ -2058,7 +2058,7 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
test_cases.emplace_back(new test_im2col(GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_F32));
test_cases.emplace_back(new test_im2col(GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_F16));

test_cases.emplace_back(new test_im2col());
test_cases.emplace_back(new test_conv_transpose_1d());


test_cases.emplace_back(new test_repeat(GGML_TYPE_F32, {10, 10, 10, 10}, {1, 1, 1, 1}));
Expand Down