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CANN: Add 310P operator support check (llama/12962)
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@ -625,6 +625,10 @@ static void ggml_cann_avg_pool2d(ggml_backend_cann_context& ctx,
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bool count_include_pad = true;
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int64_t divisor_override = 0;
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int8_t cube_math_type = 0;
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#ifdef ASCEND_310P
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cube_math_type = 1;
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#endif
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GGML_CANN_CALL_ACLNN_OP(AvgPool2d, acl_src, kernel_size, strides, paddings_avg,
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ceil_mode, count_include_pad, divisor_override,
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cube_math_type, acl_dst);
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@ -2590,6 +2594,10 @@ void ggml_cann_conv_transpose_1d(ggml_backend_cann_context& ctx, ggml_tensor* ds
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int64_t groups = 1;
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int8_t cubeMathType = 0;
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#ifdef ASCEND_310P
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cubeMathType = 1;
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#endif
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GGML_CANN_CALL_ACLNN_OP(Convolution, acl_input, acl_weight, nullptr, stride,
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padding, dilation, transposed, padding, groups, acl_dst, cubeMathType);
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@ -2022,6 +2022,10 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev,
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return true;
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case GGML_TYPE_Q8_0:
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case GGML_TYPE_Q4_0:
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#ifdef ASCEND_310P
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// Q4 && Q8 per group is not suppor on 310p device
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return false;
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#endif
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// only support contiguous for quantized types.
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return ggml_is_contiguous(op->src[0]) &&
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ggml_is_contiguous(op->src[1]);
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@ -2107,6 +2111,12 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev,
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}
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case GGML_OP_POOL_2D: {
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const int32_t * opts = (const int32_t *) op->op_params;
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#ifdef ASCEND_310P
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enum ggml_op_pool opt = static_cast<ggml_op_pool>(opts[0]);
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if(opt == GGML_OP_POOL_MAX){
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return false;
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}
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#endif
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const int k0 = opts[1];
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const int k1 = opts[2];
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const int p0 = opts[5];
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