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chore(maint): formatting #52

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50 changes: 27 additions & 23 deletions decoder.h
Original file line number Diff line number Diff line change
Expand Up @@ -12,61 +12,65 @@

struct encodec_decoder_block {
// upsampling layers
struct ggml_tensor *us_conv_w;
struct ggml_tensor *us_conv_b;
struct ggml_tensor * us_conv_w;
struct ggml_tensor * us_conv_b;

// conv1
struct ggml_tensor *conv_1_w;
struct ggml_tensor *conv_1_b;
struct ggml_tensor * conv_1_w;
struct ggml_tensor * conv_1_b;

// conv2
struct ggml_tensor *conv_2_w;
struct ggml_tensor *conv_2_b;
struct ggml_tensor * conv_2_w;
struct ggml_tensor * conv_2_b;

// shortcut
struct ggml_tensor *conv_sc_w;
struct ggml_tensor *conv_sc_b;
struct ggml_tensor * conv_sc_w;
struct ggml_tensor * conv_sc_b;
};

struct encodec_decoder {
struct ggml_tensor *init_conv_w;
struct ggml_tensor *init_conv_b;
struct ggml_tensor * init_conv_w;
struct ggml_tensor * init_conv_b;

encodec_lstm lstm;

struct ggml_tensor *final_conv_w;
struct ggml_tensor *final_conv_b;
struct ggml_tensor * final_conv_w;
struct ggml_tensor * final_conv_b;

std::vector<encodec_decoder_block> blocks;
};

struct ggml_tensor *encodec_forward_decoder(
const struct encodec_decoder *decoder, struct ggml_context *ctx0,
struct ggml_tensor *quantized_out, const int *ratios, const int kernel_size, const int res_kernel_size,
const int stride) {
struct ggml_tensor * encodec_forward_decoder(
const struct encodec_decoder * decoder,
struct ggml_context * ctx0,
struct ggml_tensor * quantized_out,
const int * ratios,
const int kernel_size,
const int res_kernel_size,
const int stride) {

if (!quantized_out) {
fprintf(stderr, "%s: null input tensor\n", __func__);
return NULL;
}

struct ggml_tensor *inpL = strided_conv_1d(
struct ggml_tensor * inpL = strided_conv_1d(
ctx0, quantized_out, decoder->init_conv_w, decoder->init_conv_b, stride);

// lstm
{
struct ggml_tensor *cur = inpL;
struct ggml_tensor * cur = inpL;

const encodec_lstm lstm = decoder->lstm;

// first lstm layer
char l0_prefix[7] = "dec_l0";
struct ggml_tensor *hs1 = forward_pass_lstm_unilayer(
struct ggml_tensor * hs1 = forward_pass_lstm_unilayer(
ctx0, cur, lstm.l0_ih_w, lstm.l0_hh_w, lstm.l0_ih_b, lstm.l0_hh_b, l0_prefix);

// second lstm layer
char l1_prefix[7] = "dec_l1";
struct ggml_tensor *out = forward_pass_lstm_unilayer(
struct ggml_tensor * out = forward_pass_lstm_unilayer(
ctx0, hs1, lstm.l1_ih_w, lstm.l1_hh_w, lstm.l1_ih_b, lstm.l1_hh_b, l1_prefix);

inpL = ggml_add(ctx0, inpL, out);
Expand All @@ -81,10 +85,10 @@ struct ggml_tensor *encodec_forward_decoder(
inpL = strided_conv_transpose_1d(
ctx0, inpL, block.us_conv_w, block.us_conv_b, ratios[layer_ix]);

struct ggml_tensor *current = inpL;
struct ggml_tensor * current = inpL;

// shortcut
struct ggml_tensor *shortcut = strided_conv_1d(
struct ggml_tensor * shortcut = strided_conv_1d(
ctx0, inpL, block.conv_sc_w, block.conv_sc_b, stride);

// conv1
Expand All @@ -106,7 +110,7 @@ struct ggml_tensor *encodec_forward_decoder(
// final conv
inpL = ggml_elu(ctx0, inpL);

struct ggml_tensor *decoded_inp = strided_conv_1d(
struct ggml_tensor * decoded_inp = strided_conv_1d(
ctx0, inpL, decoder->final_conv_w, decoder->final_conv_b, stride);

return decoded_inp;
Expand Down
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