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Results 1 - 10 of 28 for 2x3xi8 (0.12 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%0 = stablehlo.convert %arg0 : (tensor<1x2xf32>) -> tensor<1x2xi8> return %0 : tensor<1x2xi8> } // CHECK: @uniform_quantize_0 func.func private @uniform_quantize_1(%arg0: tensor<1x3xf32>, %arg1: tensor<1x1xf32>, %arg2: tensor<1x1xi8>) -> tensor<1x3xi8> { %0 = stablehlo.convert %arg0 : (tensor<1x3xf32>) -> tensor<1x3xi8> return %0 : tensor<1x3xi8> }
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/quantize_composite_functions_weight_only.mlir
// CHECK-SAME: %[[ARG0:.+]]: tensor<1x2xf32> // CHECK: %[[CST:.+]] = stablehlo.constant() <{value = dense<127> : tensor<2x3xi8>}> : () -> tensor<2x3x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>> // CHECK: %[[CALL:.+]] = call @quantized_dot_general_fn(%[[ARG0]], %[[CST]]) {_quantization_method = "weight_only_ptq { }"} : (tensor<1x2xf32>, tensor<2x3x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>) -> tensor<1x3xf32> // CHECK: return %[[CALL]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/report_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 10:10:34 UTC 2024 - 18.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
return %5 : tensor<1x3xf32> } // CHECK: %[[CONST:.+]] = stablehlo.constant() <{value = dense<127> : tensor<1x2xi8>}> : () -> tensor<1x2x!quant.uniform<i8:f32, {{.*}}>> // CHECK: %[[CONST_0:.+]] = stablehlo.constant() <{value = dense<127> : tensor<2x3xi8>}> : () -> tensor<2x3x!quant.uniform<i8<-127:127>:f32:1, {{.*}}>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// Weight tensor is transposed, as tfl.fully_connected accepts a [o, i] matrix. // CHECK-DAG: %[[QCONST_0:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<2x3x!quant.uniform<i8<-127:127>:f32:0, {2.000000e+02,3.000000e+03}>>, value = dense<1> : tensor<2x3xi8>}> : () -> tensor<2x3x!quant.uniform<i8<-127:127>:f32:0, {2.000000e+02,3.000000e+03}>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: return %[[VAL_16]] : tensor<2x3xi32> // CHECK: } func.func @floordiv_broadcast_i32(%arg0: tensor<2x3xi32>, %arg1: tensor<3xi32>) -> tensor<2x3xi32> { %0 = mhlo.constant dense<0> : tensor<2x3xi32> %1 = "chlo.broadcast_compare"(%arg0, %0) {comparison_direction = #chlo<comparison_direction LT>} : (tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/merge-fusion-with-dequantize.mlir
// CHECK-LABEL: func.func private @merge_relu_fusion func.func private @merge_relu_fusion(%arg0: tensor<1x4xf32>) -> tensor<1x3xf32> { %0 = stablehlo.constant() {value = dense<127> : tensor<4x3xi8>} : () -> tensor<4x3x!quant.uniform<i8<-127:127>:f32:1, {5.000000e-03,5.000000e-03,5.000000e-03}>> %1 = stablehlo.uniform_quantize %arg0 : (tensor<1x4xf32>) -> tensor<1x4x!quant.uniform<i8:f32, 6.000000e-03:-128>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 04 23:45:53 UTC 2024 - 14K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
} // CHECK-LABEL: EliminateRedundantLogicalOr func.func @EliminateRedundantLogicalOr(%arg0: tensor<1xi1>, %arg1: tensor<2x3xi1>) -> (tensor<1xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<1xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>) { %cst_false0 = arith.constant dense<false> : tensor<1xi1>
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/stablehlo/tests/bridge/optimize.mlir
return %2 : tensor<?x2x2x1xf32> } // ----- // CHECK-LABEL: func @dot_general_add_add func.func @dot_general_add_add( %lhs: tensor<?x?x6xi8>, %rhs: tensor<6x8xi8>, %zp_offset: tensor<8xi32>, %bias: tensor<8xi32> ) -> tensor<?x?x8xi32> { // CHECK: %[[dot:.*]] = "mhlo.dot_general" // CHECK: %[[combined:.*]] = chlo.broadcast_add %[[zp_offset:.*]], %[[bias:.*]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 10.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
} func.func @RemoveTrivialSubInt8(%arg0: tensor<2x2xi8>) -> tensor<2x2xi8> { %cst = arith.constant dense<0> : tensor<2x2xi8> %0 = "tf.Sub"(%arg0, %cst) : (tensor<2x2xi8>, tensor<2x2xi8>) -> tensor<2x2xi8> func.return %0 : tensor<2x2xi8> // CHECK-LABEL: RemoveTrivialSubInt8 // CHECK-NEXT: return %arg0 : tensor<2x2xi8> } func.func @RemoveTrivialMul(%arg0: tensor<2x2xf32>) -> tensor<2x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0)