| // Copyright 2020 Google LLC |
| // |
| // This source code is licensed under the BSD-style license found in the |
| // LICENSE file in the root directory of this source tree. |
| |
| #include <assert.h> |
| #include <math.h> |
| #include <stddef.h> |
| #include <stdint.h> |
| #include <stdlib.h> |
| |
| #include <xnnpack.h> |
| #include <xnnpack/allocator.h> |
| #include <xnnpack/log.h> |
| #include <xnnpack/operator.h> |
| #include <xnnpack/params-init.h> |
| #include <xnnpack/params.h> |
| |
| |
| static enum xnn_status create_unary_elementwise_nc( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| const void* params, |
| size_t params_size, |
| enum xnn_operator_type operator_type, |
| xnn_univector_ukernel_function ukernel, |
| xnn_operator_t* unary_elementwise_op_out) |
| { |
| xnn_operator_t unary_elementwise_op = NULL; |
| |
| if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) { |
| xnn_log_error("failed to create %s operator: XNNPACK is not initialized", |
| xnn_operator_type_to_string(operator_type)); |
| return xnn_status_uninitialized; |
| } |
| |
| if (channels == 0) { |
| xnn_log_error( |
| "failed to create %s operator with %zu channels: number of channels must be non-zero", |
| xnn_operator_type_to_string(operator_type), channels); |
| return xnn_status_invalid_parameter; |
| } |
| |
| if (input_stride < channels) { |
| xnn_log_error( |
| "failed to create %s operator with input element stride of %zu: " |
| "stride must be at least as large as the number of channels (%zu)", |
| xnn_operator_type_to_string(operator_type), input_stride, channels); |
| return xnn_status_invalid_parameter; |
| } |
| |
| if (output_stride < channels) { |
| xnn_log_error( |
| "failed to create %s operator with output element stride of %zu: " |
| "stride must be at least as large as the number of channels (%zu)", |
| xnn_operator_type_to_string(operator_type), output_stride, channels); |
| return xnn_status_invalid_parameter; |
| } |
| |
| unary_elementwise_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator)); |
| if (unary_elementwise_op == NULL) { |
| xnn_log_error( |
| "failed to allocate %zu bytes for %s operator descriptor", |
| sizeof(struct xnn_operator), xnn_operator_type_to_string(operator_type)); |
| return xnn_status_out_of_memory; |
| } |
| |
| unary_elementwise_op->channels = channels; |
| unary_elementwise_op->input_pixel_stride = input_stride; |
| unary_elementwise_op->output_pixel_stride = output_stride; |
| if (params_size != 0) { |
| memcpy(&unary_elementwise_op->params, params, params_size); |
| } |
| |
| unary_elementwise_op->ukernel.vunary.function = ukernel; |
| unary_elementwise_op->type = operator_type; |
| unary_elementwise_op->flags = flags; |
| |
| unary_elementwise_op->state = xnn_run_state_invalid; |
| |
| *unary_elementwise_op_out = unary_elementwise_op; |
| return xnn_status_success; |
| } |
| |
| static enum xnn_status setup_unary_elementwise_nc( |
| xnn_operator_t unary_elementwise_op, |
| size_t batch_size, |
| const void* input, |
| void* output, |
| uint32_t log2_input_size, |
| uint32_t log2_output_size, |
| const void* params, |
| size_t params_size) |
| { |
| if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) { |
| xnn_log_error("failed to setup %s operator: XNNPACK is not initialized", |
| xnn_operator_type_to_string(unary_elementwise_op->type)); |
| return xnn_status_uninitialized; |
| } |
| |
| if (batch_size == 0) { |
| unary_elementwise_op->state = xnn_run_state_skip; |
| return xnn_status_success; |
| } |
| |
| const size_t channels = unary_elementwise_op->channels; |
| const size_t input_stride = unary_elementwise_op->input_pixel_stride; |
| const size_t output_stride = unary_elementwise_op->output_pixel_stride; |
| |
| xnn_univector_ukernel_function ukernel = unary_elementwise_op->ukernel.vunary.function; |
| |
| if ((((input_stride ^ channels) | (output_stride ^ channels)) == 0) || batch_size == 1) { |
| const size_t block_size = 4096; |
| unary_elementwise_op->context.univector_contiguous = (struct univector_contiguous_context) { |
| .x = input, |
| .x_stride = input_stride << log2_input_size, |
| .y = output, |
| .y_stride = output_stride << log2_output_size, |
| .ukernel = ukernel, |
| }; |
| if (params_size != 0) { |
| memcpy(&unary_elementwise_op->context.univector_contiguous.params, params, params_size); |
| } |
| unary_elementwise_op->compute.type = xnn_parallelization_type_1d_tile_1d; |
| unary_elementwise_op->compute.task_1d_tile_1d = (pthreadpool_task_1d_tile_1d_t) xnn_compute_univector_contiguous; |
| unary_elementwise_op->compute.range[0] = (batch_size * channels) << log2_output_size; |
| unary_elementwise_op->compute.tile[0] = block_size; |
| } else { |
| unary_elementwise_op->context.univector_strided = (struct univector_strided_context) { |
| .n = channels << log2_output_size, |
| .x = input, |
| .x_stride = input_stride << log2_input_size, |
| .y = output, |
| .y_stride = output_stride << log2_output_size, |
| .ukernel = ukernel, |
| }; |
| if (params_size != 0) { |
| memcpy(&unary_elementwise_op->context.univector_strided.params, params, params_size); |
| } |
| unary_elementwise_op->compute.type = xnn_parallelization_type_1d_tile_1d; |
| unary_elementwise_op->compute.task_1d_tile_1d = (pthreadpool_task_1d_tile_1d_t) xnn_compute_univector_strided; |
| unary_elementwise_op->compute.range[0] = batch_size; |
| unary_elementwise_op->compute.tile[0] = 1; |
| } |
| unary_elementwise_op->state = xnn_run_state_ready; |
| |
| return xnn_status_success; |
| } |
| |
| enum xnn_status xnn_create_clamp_nc_s8( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| int8_t output_min, |
| int8_t output_max, |
| uint32_t flags, |
| xnn_operator_t* clamp_op_out) |
| { |
| if (output_min >= output_max) { |
| xnn_log_error( |
| "failed to create %s operator with [%" PRId8 ", %" PRId8 "] output range: range min must be below range max", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_s8), output_min, output_max); |
| return xnn_status_invalid_parameter; |
| } |
| |
| union xnn_s8_minmax_params params; |
| if (xnn_params.s8.clamp.init.s8_minmax != NULL) { |
| xnn_params.s8.clamp.init.s8_minmax(¶ms, output_min, output_max); |
| } |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_clamp_nc_s8, |
| xnn_params.s8.clamp.ukernel, |
| clamp_op_out); |
| } |
| |
| enum xnn_status xnn_create_clamp_nc_u8( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint8_t output_min, |
| uint8_t output_max, |
| uint32_t flags, |
| xnn_operator_t* clamp_op_out) |
| { |
| if (output_min >= output_max) { |
| xnn_log_error( |
| "failed to create %s operator with [%" PRIu8 ", %" PRIu8 "] output range: range min must be below range max", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_u8), output_min, output_max); |
| return xnn_status_invalid_parameter; |
| } |
| |
| union xnn_u8_minmax_params params; |
| if (xnn_params.u8.clamp.init.u8_minmax != NULL) { |
| xnn_params.u8.clamp.init.u8_minmax(¶ms, output_min, output_max); |
| } |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_clamp_nc_u8, |
| xnn_params.u8.clamp.ukernel, |
| clamp_op_out); |
| } |
| |
| enum xnn_status xnn_create_clamp_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| float output_min, |
| float output_max, |
| uint32_t flags, |
| xnn_operator_t* clamp_op_out) |
| { |
| if (isnan(output_min)) { |
| xnn_log_error( |
| "failed to create %s operator with NaN output lower bound: lower bound must be non-NaN", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_f32)); |
| return xnn_status_invalid_parameter; |
| } |
| |
| if (isnan(output_max)) { |
| xnn_log_error( |
| "failed to create %s operator with NaN output upper bound: upper bound must be non-NaN", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_f32)); |
| return xnn_status_invalid_parameter; |
| } |
| |
| if (output_min >= output_max) { |
| xnn_log_error( |
| "failed to create %s operator with [%.7g, %.7g] output range: lower bound must be below upper bound", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_f32), output_min, output_max); |
| return xnn_status_invalid_parameter; |
| } |
| |
| const bool relu_activation = (output_max == INFINITY) && (output_min == 0.0f); |
| xnn_univector_ukernel_function clamp_ukernel = (relu_activation && (xnn_params.f32.relu != NULL)) ? |
| xnn_params.f32.relu : xnn_params.f32.clamp.ukernel; |
| |
| union xnn_f32_minmax_params params; |
| if (xnn_params.f32.clamp.init.f32_minmax != NULL) { |
| xnn_params.f32.clamp.init.f32_minmax(¶ms, output_min, output_max); |
| } |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_clamp_nc_f32, |
| clamp_ukernel, |
| clamp_op_out); |
| } |
| |
| enum xnn_status xnn_create_abs_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* abs_op_out) |
| { |
| union xnn_f32_abs_params params; |
| xnn_init_f32_abs_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_abs_nc_f32, |
| xnn_params.f32.abs, |
| abs_op_out); |
| } |
| |
| enum xnn_status xnn_create_bankers_rounding_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* rounding_op_out) |
| { |
| union xnn_f32_rnd_params params; |
| xnn_init_f32_rnd_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_bankers_rounding_nc_f32, |
| xnn_params.f32.rndne, |
| rounding_op_out); |
| } |
| |
| enum xnn_status xnn_create_ceiling_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* ceiling_op_out) |
| { |
| union xnn_f32_rnd_params params; |
| xnn_init_f32_rnd_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_ceiling_nc_f32, |
| xnn_params.f32.rndu, |
| ceiling_op_out); |
| } |
| |
| enum xnn_status xnn_create_convert_nc_f16_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* convert_op_out) |
| { |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| NULL, 0, |
| xnn_operator_type_convert_nc_f16_f32, |
| xnn_params.vcvt.f16_to_f32, |
| convert_op_out); |
| } |
| |
| enum xnn_status xnn_create_convert_nc_f32_f16( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* convert_op_out) |
| { |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| NULL, 0, |
| xnn_operator_type_convert_nc_f32_f16, |
| xnn_params.vcvt.f32_to_f16, |
| convert_op_out); |
| } |
| |
| enum xnn_status xnn_create_copy_nc_x32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* copy_op_out) |
| { |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| NULL, 0, |
| xnn_operator_type_copy_nc_x32, |
| xnn_params.xx.copy, |
| copy_op_out); |
| } |
| |
| enum xnn_status xnn_create_elu_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| float alpha, |
| uint32_t flags, |
| xnn_operator_t* elu_op_out) |
| { |
| if (alpha <= 0.0f || !isnormal(alpha)) { |
| xnn_log_error( |
| "failed to create %s operator with %.7g alpha parameter: alpha must be finite, normalized, and positive", |
| xnn_operator_type_to_string(xnn_operator_type_elu_nc_f32), alpha); |
| return xnn_status_invalid_parameter; |
| } |
| |
| union xnn_f32_elu_params params; |
| xnn_init_f32_elu_params(¶ms, 1.0f /* prescale */, alpha, 1.0f /* beta */); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_elu_nc_f32, |
| xnn_params.f32.elu, |
| elu_op_out); |
| } |
| |
| enum xnn_status xnn_create_floor_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* floor_op_out) |
| { |
| union xnn_f32_rnd_params params; |
| xnn_init_f32_rnd_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_floor_nc_f32, |
| xnn_params.f32.rndd, |
| floor_op_out); |
| } |
| |
| enum xnn_status xnn_create_hardswish_nc_f16( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* hardswish_op_out) |
| { |
| if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) { |
| xnn_log_error("failed to create %s operator: XNNPACK is not initialized", |
| xnn_operator_type_to_string(xnn_operator_type_hardswish_nc_f16)); |
| return xnn_status_uninitialized; |
| } |
| |
| if ((xnn_params.init_flags & XNN_INIT_FLAG_F16) != XNN_INIT_FLAG_F16) { |
| xnn_log_error("failed to create %s operator: operations on data type are not supported", |
| xnn_operator_type_to_string(xnn_operator_type_hardswish_nc_f16)); |
| return xnn_status_unsupported_hardware; |
| } |
| |
| struct xnn_f16_hswish_params params; |
| xnn_init_f16_hswish_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_hardswish_nc_f16, |
| xnn_params.f16.hswish, |
| hardswish_op_out); |
| } |
| |
| enum xnn_status xnn_create_hardswish_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* hardswish_op_out) |
| { |
| union xnn_f32_hswish_params params; |
| xnn_init_f32_hswish_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_hardswish_nc_f32, |
| xnn_params.f32.hswish, |
| hardswish_op_out); |
| } |
| |
| enum xnn_status xnn_create_leaky_relu_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| float negative_slope, |
| uint32_t flags, |
| xnn_operator_t* leaky_relu_op_out) |
| { |
| if (!isfinite(negative_slope)) { |
| xnn_log_error( |
| "failed to create %s operator with %f negative slope: finite number expected", |
| xnn_operator_type_to_string(xnn_operator_type_leaky_relu_nc_f32), |
| negative_slope); |
| return xnn_status_invalid_parameter; |
| } |
| |
| union xnn_f32_lrelu_params params; |
| xnn_init_f32_lrelu_params(¶ms, negative_slope); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_leaky_relu_nc_f32, |
| xnn_params.f32.lrelu, |
| leaky_relu_op_out); |
| } |
| |
| enum xnn_status xnn_create_negate_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* negate_op_out) |
| { |
| union xnn_f32_neg_params params; |
| xnn_init_f32_neg_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_negate_nc_f32, |
| xnn_params.f32.neg, |
| negate_op_out); |
| } |
| |
| enum xnn_status xnn_create_sigmoid_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* sigmoid_op_out) |
| { |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| NULL, 0, |
| xnn_operator_type_sigmoid_nc_f32, |
| xnn_params.f32.sigmoid, |
| sigmoid_op_out); |
| } |
| |
| enum xnn_status xnn_create_square_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* square_op_out) |
| { |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| NULL, 0, |
| xnn_operator_type_square_nc_f32, |
| xnn_params.f32.sqr, |
| square_op_out); |
| } |
| |
| enum xnn_status xnn_create_square_root_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* sqrt_op_out) |
| { |
| union xnn_f32_sqrt_params params; |
| xnn_init_f32_sqrt_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_square_root_nc_f32, |
| xnn_params.f32.sqrt, |
| sqrt_op_out); |
| } |
| |
| enum xnn_status xnn_create_truncation_nc_f32( |
| size_t channels, |
| size_t input_stride, |
| size_t output_stride, |
| uint32_t flags, |
| xnn_operator_t* truncation_op_out) |
| { |
| union xnn_f32_rnd_params params; |
| xnn_init_f32_rnd_params(¶ms); |
| return create_unary_elementwise_nc( |
| channels, input_stride, output_stride, flags, |
| ¶ms, sizeof(params), |
| xnn_operator_type_truncation_nc_f32, |
| xnn_params.f32.rndz, |
| truncation_op_out); |
| } |
| |
| enum xnn_status xnn_setup_abs_nc_f32( |
| xnn_operator_t abs_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (abs_op->type != xnn_operator_type_abs_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_abs_nc_f32), |
| xnn_operator_type_to_string(abs_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| abs_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| abs_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &abs_op->params.f32_abs, sizeof(abs_op->params.f32_abs)); |
| } |
| |
| enum xnn_status xnn_setup_bankers_rounding_nc_f32( |
| xnn_operator_t rounding_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (rounding_op->type != xnn_operator_type_bankers_rounding_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_bankers_rounding_nc_f32), |
| xnn_operator_type_to_string(rounding_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| rounding_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| rounding_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &rounding_op->params.f32_rnd, sizeof(rounding_op->params.f32_rnd)); |
| } |
| |
| enum xnn_status xnn_setup_ceiling_nc_f32( |
| xnn_operator_t ceiling_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (ceiling_op->type != xnn_operator_type_ceiling_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_ceiling_nc_f32), |
| xnn_operator_type_to_string(ceiling_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| ceiling_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| ceiling_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &ceiling_op->params.f32_rnd, sizeof(ceiling_op->params.f32_rnd)); |
| } |
| |
| enum xnn_status xnn_setup_clamp_nc_s8( |
| xnn_operator_t clamp_op, |
| size_t batch_size, |
| const int8_t* input, |
| int8_t* output, |
| pthreadpool_t threadpool) |
| { |
| if (clamp_op->type != xnn_operator_type_clamp_nc_s8) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_s8), |
| xnn_operator_type_to_string(clamp_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| clamp_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| clamp_op, |
| batch_size, input, output, |
| 0 /* log2(sizeof(int8_t)) */, |
| 0 /* log2(sizeof(int8_t)) */, |
| &clamp_op->params.s8_minmax, sizeof(clamp_op->params.s8_minmax)); |
| } |
| |
| enum xnn_status xnn_setup_clamp_nc_u8( |
| xnn_operator_t clamp_op, |
| size_t batch_size, |
| const uint8_t* input, |
| uint8_t* output, |
| pthreadpool_t threadpool) |
| { |
| if (clamp_op->type != xnn_operator_type_clamp_nc_u8) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_u8), |
| xnn_operator_type_to_string(clamp_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| clamp_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| clamp_op, |
| batch_size, input, output, |
| 0 /* log2(sizeof(uint8_t)) */, |
| 0 /* log2(sizeof(uint8_t)) */, |
| &clamp_op->params.u8_minmax, sizeof(clamp_op->params.u8_minmax)); |
| } |
| |
| enum xnn_status xnn_setup_clamp_nc_f32( |
| xnn_operator_t clamp_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (clamp_op->type != xnn_operator_type_clamp_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_clamp_nc_f32), |
| xnn_operator_type_to_string(clamp_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| clamp_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| clamp_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &clamp_op->params.f32_minmax, sizeof(clamp_op->params.f32_minmax)); |
| } |
| |
| enum xnn_status xnn_setup_convert_nc_f16_f32( |
| xnn_operator_t convert_op, |
| size_t batch_size, |
| const void* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (convert_op->type != xnn_operator_type_convert_nc_f16_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_convert_nc_f16_f32), |
| xnn_operator_type_to_string(convert_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| convert_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| convert_op, |
| batch_size, input, output, |
| 1 /* log2(sizeof(uint16_t)) */, |
| 2 /* log2(sizeof(float)) */, |
| NULL, 0); |
| } |
| |
| enum xnn_status xnn_setup_convert_nc_f32_f16( |
| xnn_operator_t convert_op, |
| size_t batch_size, |
| const float* input, |
| void* output, |
| pthreadpool_t threadpool) |
| { |
| if (convert_op->type != xnn_operator_type_convert_nc_f32_f16) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_convert_nc_f32_f16), |
| xnn_operator_type_to_string(convert_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| convert_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| convert_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 1 /* log2(sizeof(uint16_t)) */, |
| NULL, 0); |
| } |
| |
| enum xnn_status xnn_setup_copy_nc_x32( |
| xnn_operator_t copy_op, |
| size_t batch_size, |
| const void* input, |
| void* output, |
| pthreadpool_t threadpool) |
| { |
| if (copy_op->type != xnn_operator_type_copy_nc_x32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_copy_nc_x32), |
| xnn_operator_type_to_string(copy_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| copy_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| copy_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(uint32_t)) */, |
| 2 /* log2(sizeof(uint32_t)) */, |
| NULL, 0); |
| } |
| |
| enum xnn_status xnn_setup_elu_nc_f32( |
| xnn_operator_t elu_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (elu_op->type != xnn_operator_type_elu_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_elu_nc_f32), |
| xnn_operator_type_to_string(elu_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| elu_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| elu_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &elu_op->params.f32_elu, sizeof(elu_op->params.f32_elu)); |
| } |
| |
| enum xnn_status xnn_setup_floor_nc_f32( |
| xnn_operator_t floor_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (floor_op->type != xnn_operator_type_floor_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_floor_nc_f32), |
| xnn_operator_type_to_string(floor_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| floor_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| floor_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &floor_op->params.f32_rnd, sizeof(floor_op->params.f32_rnd)); |
| } |
| |
| enum xnn_status xnn_setup_hardswish_nc_f16( |
| xnn_operator_t hardswish_op, |
| size_t batch_size, |
| const void* input, |
| void* output, |
| pthreadpool_t threadpool) |
| { |
| if (hardswish_op->type != xnn_operator_type_hardswish_nc_f16) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_hardswish_nc_f16), |
| xnn_operator_type_to_string(hardswish_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| hardswish_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| hardswish_op, |
| batch_size, input, output, |
| 1 /* log2(sizeof(half)) */, |
| 1 /* log2(sizeof(half)) */, |
| &hardswish_op->params.f16_hswish, sizeof(hardswish_op->params.f16_hswish)); |
| } |
| |
| enum xnn_status xnn_setup_hardswish_nc_f32( |
| xnn_operator_t hardswish_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (hardswish_op->type != xnn_operator_type_hardswish_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_hardswish_nc_f32), |
| xnn_operator_type_to_string(hardswish_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| hardswish_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| hardswish_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &hardswish_op->params.f32_hswish, sizeof(hardswish_op->params.f32_hswish)); |
| } |
| |
| enum xnn_status xnn_setup_leaky_relu_nc_f32( |
| xnn_operator_t leaky_relu_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (leaky_relu_op->type != xnn_operator_type_leaky_relu_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_leaky_relu_nc_f32), |
| xnn_operator_type_to_string(leaky_relu_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| leaky_relu_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| leaky_relu_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &leaky_relu_op->params.f32_lrelu, sizeof(leaky_relu_op->params.f32_lrelu)); |
| } |
| |
| enum xnn_status xnn_setup_negate_nc_f32( |
| xnn_operator_t negate_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (negate_op->type != xnn_operator_type_negate_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_negate_nc_f32), |
| xnn_operator_type_to_string(negate_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| negate_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| negate_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &negate_op->params.f32_neg, sizeof(negate_op->params.f32_neg)); |
| } |
| |
| enum xnn_status xnn_setup_sigmoid_nc_f32( |
| xnn_operator_t sigmoid_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (sigmoid_op->type != xnn_operator_type_sigmoid_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_sigmoid_nc_f32), |
| xnn_operator_type_to_string(sigmoid_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| sigmoid_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| sigmoid_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| NULL, 0); |
| } |
| |
| enum xnn_status xnn_setup_square_nc_f32( |
| xnn_operator_t square_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (square_op->type != xnn_operator_type_square_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_square_nc_f32), |
| xnn_operator_type_to_string(square_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| square_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| square_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| NULL, 0); |
| } |
| |
| enum xnn_status xnn_setup_square_root_nc_f32( |
| xnn_operator_t sqrt_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (sqrt_op->type != xnn_operator_type_square_root_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_square_root_nc_f32), |
| xnn_operator_type_to_string(sqrt_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| sqrt_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| sqrt_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| NULL, 0); |
| } |
| |
| enum xnn_status xnn_setup_truncation_nc_f32( |
| xnn_operator_t truncation_op, |
| size_t batch_size, |
| const float* input, |
| float* output, |
| pthreadpool_t threadpool) |
| { |
| if (truncation_op->type != xnn_operator_type_truncation_nc_f32) { |
| xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)", |
| xnn_operator_type_to_string(xnn_operator_type_truncation_nc_f32), |
| xnn_operator_type_to_string(truncation_op->type)); |
| return xnn_status_invalid_parameter; |
| } |
| truncation_op->state = xnn_run_state_invalid; |
| |
| return setup_unary_elementwise_nc( |
| truncation_op, |
| batch_size, input, output, |
| 2 /* log2(sizeof(float)) */, |
| 2 /* log2(sizeof(float)) */, |
| &truncation_op->params.f32_rnd, sizeof(truncation_op->params.f32_rnd)); |
| } |