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Change relu to clamp for grouped conv fwd instances (#2249)
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@@ -11,7 +11,7 @@
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "ck/library/tensor_operation_instance/gpu/grouped_convolution_forward_bias_relu.hpp"
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#include "ck/library/tensor_operation_instance/gpu/grouped_convolution_forward_bias_clamp.hpp"
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#include "ck/library/utility/algorithm.hpp"
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#include "ck/library/utility/check_err.hpp"
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@@ -35,19 +35,22 @@ template <ck::index_t NDimSpatial,
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typename AComputeType = InDataType,
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typename BComputeType = AComputeType,
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typename IndexType = ck::index_t>
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bool profile_grouped_conv_fwd_bias_relu_impl(int do_verification,
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int init_method,
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bool do_log,
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bool time_kernel,
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const ck::utils::conv::ConvParam& conv_param)
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bool profile_grouped_conv_fwd_bias_clamp_impl(int do_verification,
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int init_method,
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bool do_log,
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bool time_kernel,
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const ck::utils::conv::ConvParam& conv_param)
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{
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using InElementOp = ck::tensor_operation::element_wise::PassThrough;
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using WeiElementOp = ck::tensor_operation::element_wise::PassThrough;
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using OutElementOp = ck::tensor_operation::element_wise::AddRelu;
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using OutElementOp = ck::tensor_operation::element_wise::AddClamp;
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const float floor = 0.f;
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const float ceil = 256.f;
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const auto in_element_op = InElementOp{};
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const auto wei_element_op = WeiElementOp{};
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const auto out_element_op = OutElementOp{};
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const auto out_element_op = OutElementOp{floor, ceil};
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const auto in_g_n_c_wis_desc =
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ck::utils::conv::make_input_host_tensor_descriptor_g_n_c_wis_packed<InLayout>(conv_param);
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