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Results 1 - 10 of 16 for 16x16x4xf32 (0.2 sec)
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tensorflow/compiler/mlir/lite/transforms/optimize.cc
// %cst = arith.constant dense<1.0> : tensor<16x16x4xf32> // %0 = "tfl.conv_2d"... // %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<16x16x4xf32>) // After this optimization: // %cst = arith.constant dense<1.0> : tensor<f32> // %0 = "tfl.conv_2d"... // %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<f32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
// input shape. // CHECK-LABEL: reduce_window_max_activation_transpose func.func @reduce_window_max_activation_transpose(%arg0: tensor<1x16x16x4xf32>) -> tensor<1x4x8x8xf32> { %0 = stablehlo.constant dense<0xFF800000> : tensor<f32> // -inf %1 = stablehlo.transpose %arg0, dims = [0, 3, 1, 2] : (tensor<1x16x16x4xf32>) -> tensor<1x4x16x16xf32> %2 = "stablehlo.reduce_window"(%1, %0) ({ ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions_with_quantization_specs.mlir
// DISABLE-ALL-DOT-GENERAL: @main func.func @main(%arg0: tensor<1x1x167xf32>) -> tensor<1x1x64xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<167x64xf32> %1 = stablehlo.dot_general %arg0, %0, contracting_dims = [2] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x1x167xf32>, tensor<167x64xf32>) -> tensor<1x1x64xf32> return %1 : tensor<1x1x64xf32> } // DISABLE-ALL-DOT-GENERAL: %[[CONST:.+]] = stablehlo.constant dense<2.000000e+00>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 18:09:38 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_partitioned_op_conversion.mlir
// CHECK: return [[RI]] func.return %ri : tensor<!tf_type.resource<tensor<16x16x16xf32>>> } // ----- // CHECK-LABEL:func @partitioned_output_3d // CHECK-SAME: ([[ARG:%.*]]: tensor<!tf_type.resource<tensor<16x16x16xf32>>>) func.func @partitioned_output_3d(%arg: tensor<!tf_type.resource<tensor<16x16x16xf32>>>) -> tensor<!tf_type.resource<tensor<16x8x16xf32>>> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 20 17:43:51 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%19 = stablehlo.convert %18 : (tensor<8x16x4xi32>) -> tensor<8x16x4xf32> %20 = stablehlo.broadcast_in_dim %9, dims = [0, 1, 2] : (tensor<1x1x1xf32>) -> tensor<8x16x4xf32> %21 = stablehlo.multiply %19, %20 : tensor<8x16x4xf32> // * s1 s2 %22 = call @uniform_quantize_1(%21, %7, %8) : (tensor<8x16x4xf32>, tensor<1x1x1xf32>, tensor<1x1x1xi8>) -> tensor<8x16x4xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
%5 = stablehlo.broadcast_in_dim %1, dims = [2] : (tensor<64xf32>) -> tensor<1x1x64xf32> %6 = stablehlo.add %4, %5 : tensor<1x1x64xf32> %7 = stablehlo.clamp %2, %6, %3 : tensor<1x1x64xf32> func.return %7: tensor<1x1x64xf32> } // CHECK: %[[CONST_0:.*]] = stablehlo.constant dense<2.000000e+00> // CHECK: %[[CONST_1:.*]] = stablehlo.constant dense<2.000000e+00>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/ops/stablehlo_op_quant_spec_test.cc
return %0 : tensor<1x1x4xf32> } )mlir"; OwningOpRef<ModuleOp> module_op = ParseModuleOpString(kModuleXlaCallModuleOpWithDefaultQuantizationMethod); ASSERT_TRUE(module_op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 04 07:19:09 UTC 2024 - 14.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
%1 = "tfl.arg_max"(%0, %cst) : (tensor<16x1024xf32>, tensor<1xi32>) -> tensor<16xi32> func.return %1 : tensor<16xi32> // CHECK-DAG: %[[CST:.*]] = arith.constant dense<-1> : tensor<1xi32> // CHECK: %[[SOFTMAX:.*]] = "tfl.softmax"(%arg0) <{beta = -1.000000e+00 : f32}> : (tensor<16x1024xf32>) -> tensor<16x1024xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/lift_as_function_call_test.cc
return %0 : tensor<1x1x4xf32> } )mlir"; const OwningOpRef<ModuleOp> module_op = ParseModuleOpString(kXlaCallModuleOpWithQuantizationMethodAttr); ASSERT_TRUE(module_op); func::FuncOp main_fn = FindMainFuncOp(*module_op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 26.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
%split_dim = arith.constant dense<0> : tensor<2x2xi32> // expected-error @+1 {{'tfl.split' op failed to verify that operand #0 is an 0-d tensor or 1-d tensor w/ 1 element}} %0 = "tfl.split"(%split_dim, %arg0) {num_splits = 1 : i32} : (tensor<2x2xi32>, tensor<16x4x4xf32>) -> tensor<16x4x4xf32> func.return %0 : tensor<16x4x4xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)