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Results 1 - 2 of 2 for 3x3x2x4xf32 (0.2 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
%w = arith.constant dense<2.0> : tensor<3x3x3x3xf32> %q = "tfl.quantize"(%w) {qtype = tensor<3x3x3x3x!quant.uniform<i8<-127:127>:f32:0,{1.0,2.0,3.0}>>} : (tensor<3x3x3x3xf32>) -> tensor<3x3x3x3x!quant.uniform<i8<-127:127>:f32:0,{1.0,2.0,3.0}>> %dq = "tfl.dequantize"(%q) : (tensor<3x3x3x3x!quant.uniform<i8<-127:127>:f32:0,{1.0,2.0,3.0}>>) -> tensor<3x3x3x3xf32>
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/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: return %[[VAL_12]] : tensor<3x5x1x4xf32> // CHECK: } func.func @convert_dot_general(%arg0: tensor<3x2x6x5x1xf32>, %arg1: tensor<3x2x4x6xf32>) -> tensor<3x5x1x4xf32> { %0 = "mhlo.dot_general"(%arg0, %arg1) { dot_dimension_numbers = #mhlo.dot< lhs_batching_dimensions = [0],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)